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Key ResponsibilitiesDesign and implement real-time data streaming pipelines utilizing technologies such as Apache Flink, Kafka, and JavaDevelop and maintain event-driven architectures for large-scale distributed systemsConduct JVM tuning and performance optimization for streaming applicationsCreate and deploy applications with containerization tools (Docker, Kubernetes)Utilize the Cloudera platform for data engineering and pipeline orchestrationApply robust design patterns and uphold high coding standardsDiagnose and resolve problems within the distributed systems ecosystemCollaborate with DevOps teams to sustain CI/CD pipelines (GitHub, Jenkins)Operate in Linux-based systems, including configuration and shell scriptingEnhance data processing with caching mechanisms (e.g., Redis – a plus)
About the job
Join our dynamic team at gsstech-group as a Data Engineer specializing in real-time streaming and event-driven architectures. The successful candidate will play a pivotal role in constructing scalable data pipelines, optimizing streaming systems, and guaranteeing exceptional performance in distributed environments.
About gsstech-group
gsstech-group is at the forefront of technology innovation, dedicated to delivering high-quality solutions that empower organizations to harness the power of data and drive operational excellence. Join us in shaping the future of data engineering.
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Search for Data Engineer At Kobie Bengaluru Karnataka
Join our India Tech Hub – Be among the first hires!Kobie Marketing, a leader in the loyalty industry with over 35 years of experience, is excited to announce the establishment of our Tech Hub in India. Recognized as a multi-year Forrester Leader and a Top Workplace in the USA, Kobie collaborates with global brands to enhance customer loyalty through personalized, data-driven experiences. As we expand our global footprint, this is a unique opportunity for you to contribute to our mission of driving enterprise value through loyalty. Be part of a dynamic team that is at the forefront of innovation in customer experiences for some of the world’s most renowned brands.About the Team and Our VisionOur team specializes in uncovering actionable insights from our clients’ loyalty data, which play a crucial role in enhancing enterprise value. We are committed to developing real-time dashboards that provide invaluable information to both internal and external stakeholders.As a Data Engineer at Kobie, you will be a key contributor to our data engineering team. Your expertise will be vital in implementing ETL/ELT processes and data integrations, as well as populating Kimball-style star schemas from a variety of data sources across multiple data warehouse implementations. Your responsibilities will range from gathering requirements to designing business processes and dimensional models. A deep understanding of OLTP, Data Vault, and star schemas will be essential as you analyze source data to determine its potential in meeting business objectives. Your goal will be to develop scalable, efficient, auditable, and reusable processes.
Be a Founding Member of Our India Tech Hub!Kobie, with over 35 years of expertise in the loyalty sector and recognized as a multi-year Forrester Leader and a top workplace in the USA, is thrilled to announce the launch of our Tech Hub in India. We collaborate with prestigious global brands to foster meaningful connections with their customers through tailored, data-driven loyalty experiences, all aimed at enhancing enterprise value through loyalty. This Tech Hub will act as a Global Capabilities Center, offering a variety of technology roles. Join us in making a significant impact as we continue to set the standard in loyalty, delivering cutting-edge customer experiences for some of the most esteemed brands worldwide, and collaborating with a team of exceptional talent in the field of loyalty.
Join Our Innovative India Tech Hub – Be Among the First Hires!Kobie Marketing, a leader in the loyalty industry for over 35 years and recognized as a top workplace by Forrester, is expanding its global reach with the establishment of a new Tech Hub in India. We collaborate with renowned global brands to create meaningful connections with their customers through personalized, data-driven loyalty experiences. Our mission is to enhance enterprise value through loyalty. As part of this Tech Hub, you have the unique opportunity to help shape our presence in India, contributing to the innovative customer experiences we deliver for some of the world’s most recognized brands alongside a talented team.About the Team and Our GoalsOur team specializes in extracting actionable insights from client loyalty data to drive enterprise value. We develop real-time dashboards that serve both internal and external stakeholders, ensuring data-driven decision-making.As a Senior Data Engineer at Kobie, you will be instrumental in our data engineering team, closely collaborating with the Manager of Data Engineering and the wider data organization. You will take charge of designing and evolving data pipelines and architectures that power Kobie’s products. Your extensive expertise in data modeling, architectural design, and scalable system development will help establish best practices across various Snowflake environments. You will mentor Data Engineers through the implementation process while ensuring our data platform remains secure, high-performing, and poised for future growth.
Become a Foundational Member of Our India Tech Hub!Kobie Marketing, a leader in the loyalty industry with over 35 years of experience, is thrilled to announce the launch of our new Tech Hub in India. Recognized as a multi-year Forrester Leader and one of the top workplaces in the USA, we are committed to enhancing our global reach. At Kobie, we partner with renowned brands to foster meaningful connections with their customers through personalized, data-driven loyalty solutions. Our mission is to elevate enterprise value through loyalty, and we are looking for talented individuals like you to help us build this exciting new chapter.About Your Future TeamAs a Senior Software Engineer, you will play a crucial role in our developer community. Your expertise in identifying market pain points will help transform business challenges into effective software solutions for some of the world’s most respected brands. Collaborate with a team of talented professionals as we innovate and deliver exceptional customer experiences together.
Join Our Innovative India Tech Hub – Be Among the First Hires!Kobie Marketing, a leader with over 35 years in the loyalty industry and recognized as a multi-year Forrester Leader and a Top Workplace in the USA, is expanding its global presence by launching a Tech Hub in India. Our mission is to forge deep connections between global brands and their customers through personalized, data-driven loyalty experiences, ultimately driving enterprise value through loyalty. This is a unique opportunity to be part of our foundational team and significantly impact our operations in India. Collaborate with some of the brightest minds in loyalty as we continue to innovate and deliver exceptional customer experiences for iconic brands.The Product Owner team is essential in transforming Kobie's strategic product vision into reality by developing cutting-edge technology solutions. We lead projects with agility, working closely with development teams and stakeholders to create unmatched personalized customer experiences globally. Our team excels in critical thinking and creative problem-solving to maximize product value and uphold platform standards, ensuring quality outcomes that enhance enterprise value through loyalty.
Become a pivotal part of our India Tech Hub!Kobie Marketing, with over 35 years of experience in the loyalty sector and a recognized leader by Forrester, is excited to announce the establishment of our Tech Hub in Bengaluru, Karnataka. We collaborate with leading global brands to foster meaningful connections with their customers through personalized, data-driven loyalty programs. Our mission is to enhance enterprise value through innovative loyalty solutions. This Tech Hub will function as a Global Capabilities Center, providing diverse technology roles. This is your chance to contribute significantly to our expansion in India and help us continue our leadership in loyalty, delivering exceptional customer experiences for some of the world’s most esteemed brands while collaborating with a talented team of professionals.
Be a Pioneer in Our India Tech Hub!Kobie Marketing, a leader in the loyalty industry for over 35 years and recognized as a top workplace by Forrester, is excited to announce the launch of a new Tech Hub in India. We partner with prominent global brands to create meaningful connections with their customers through innovative, data-driven loyalty experiences. Our mission is to enhance enterprise value through loyalty. This Tech Hub will serve as a Global Capabilities Center for diverse technology roles, and you have the opportunity to play a critical role in establishing our presence in India. Join us in our journey to redefine loyalty as we deliver groundbreaking customer experiences for some of the world's most well-known brands, collaborating with a talented team of professionals.About the Team and Our Vision As the Software Engineering Manager, you will lead one or more Agile development squads within Kobie's Software Engineering group. This pivotal role focuses on the delivery of scalable, high-quality software solutions aligned with our strategic roadmap and client implementations while nurturing the growth and development of the engineering team. You will closely collaborate with Product Owners, QA professionals, Architects, and other stakeholders to convert business requirements into effective technical solutions. Your leadership will guide a team of skilled engineers in building reliable software while fostering strong engineering practices and a collaborative environment. Your responsibilities will include playing an active role in daily delivery, sprint execution, and team enablement, ensuring predictable outcomes, high-quality releases, and continuous improvement. You will support resource planning, mentor engineers, and contribute to their technical and professional growth. Furthermore, you will build strong partnerships with product and cross-functional teams, gaining insight into business needs and contributing to solutions that leverage modern technologies within a scalable platform ecosystem. Your leadership will drive team momentum, uphold high execution standards, and ensure alignment between engineering efforts and product goals. You will effectively communicate technical approaches and decisions to both technical and non-technical stakeholders, nurturing robust working relationships throughout the organization.
Join our innovative team at Sixt as a Data Engineer II, where you will play a vital role in designing and implementing robust data pipelines and architectures. Your expertise will help us transform raw data into actionable insights, enhancing our business decisions and customer experience. If you are passionate about working with large datasets and have a keen interest in data analytics, we want to hear from you!
Be a Pioneer in Our India Tech Hub!Kobie, a leader in the loyalty industry for over 35 years and recognized consistently as a top workplace by Forrester, is excited to expand its global operations by establishing a Tech Hub in India. We collaborate with prestigious global brands to create meaningful connections with their customers through tailored, data-driven loyalty experiences, with a mission focused on enhancing enterprise value through loyalty. This Tech Hub will function as a Global Capabilities Center, providing a unique opportunity for you to significantly influence our presence in India. Join us in our journey to redefine loyalty and deliver exceptional customer experiences for some of the world's most renowned brands, while working alongside a team of talented professionals in the loyalty space.About Our Team and Collective VisionThe Kobie Engineering Team is made up of a diverse group of individuals from various disciplines including DevOps Engineering, Cloud Engineering, and System Administration. Our primary objective is to foster collaboration across different organizational units, creating an environment where all teams work in unison to benefit the organization and enhance our technology platforms. We are committed to delivering business solutions in a reliable and repeatable manner to maximize our impact on the bottom line.Your Role and ImpactAs the Lead Cloud Engineer, you will spearhead the design, implementation, and maintenance of our infrastructure and deployment pipelines. Your collaboration with development and operations teams will be crucial to ensure our systems are scalable, reliable, and highly available. You will also mentor and train junior and mid-level engineers, promoting the adoption of best practices and automation throughout the organization.Lead the design and execution of our infrastructure and deployment pipelinesEnhance software delivery processes in collaboration with development and operations teamsMonitor, troubleshoot, and automate to enable self-healing production systems for optimal performanceDevelop automation strategies to improve efficiency and reliabilityTransform business visions into actionable technical roadmaps for infrastructure and deployment optimizationEvaluate technology trends and recommend enhancements for adoptionMentor junior and mid-level engineersPromote best practices and automation across the organization
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Kobie Marketing has over three decades of experience in the loyalty industry, working with global brands to deliver personalized, data-driven loyalty programs. The company is recognized as a Forrester Leader and a top workplace in the United States. Kobie is expanding its global footprint by opening a Tech Hub in Bengaluru, Karnataka. This new center will serve as a Global Capabilities Center, supporting a variety of technology roles and strengthening Kobie’s presence in India. The Cloud Engineering team at Kobie Marketing builds and maintains enterprise-level cloud infrastructure. The team focuses on automation, security, scalability, and operational efficiency to support both company growth and client needs. Role overview The Cloud Engineering Manager leads the design, delivery, and operation of secure, scalable, and highly available cloud platforms. This position works closely with business stakeholders and other engineering teams to turn requirements into strong technical architectures. Leadership responsibilities include mentoring team members, encouraging the use of AI automation and best practices, and upholding high standards for quality, security, and efficiency. Key responsibilities Oversee the design and operation of cloud platforms that support client solutions Work with business and engineering teams to align technical solutions with requirements Promote operational excellence and maintain stability across cloud environments Mentor and develop team members, fostering continuous improvement Encourage adoption of AI automation and industry best practices Ensure solutions meet standards for quality, security, and efficiency Impact This position directly shapes platform stability, speed to market, and Kobie’s ability to scale client solutions worldwide. Location Bengaluru, Karnataka
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Join our dynamic team at gsstech-group as a talented Data Engineer within the Data Engineering Chapter, working closely with the Group Operations team at ENBD. In this role, you will be instrumental in developing scalable data pipelines, conducting data analyses, and providing top-tier data solutions that align with our enterprise data models.Key ResponsibilitiesEngage with the Group Operations Team daily to clarify business and data requirements.Execute Impact Assessments for both new and existing data modifications.Carry out Technical Data Mapping and Data Profiling.Design, implement, and sustain ETL pipelines for efficient data extraction, transformation, and loading.Create data solutions that integrate with the AECB application following established data models.Enhance and maintain data pipelines utilizing PySpark on contemporary data platforms.Ensure the quality, consistency, and integrity of data across various systems.Conduct unit testing, debugging, and deployment of data solutions.Utilize modern tools and AI technologies (e.g., Claude) to boost development efficiency and minimize operational errors.Collaborate effectively with cross-functional teams including business analysts, architects, and QA.Required Skills & QualificationsProven expertise in PySpark and distributed data processing.Experience with Informatica BDM Development (Big Data Management).Deep understanding of ETL/ELT concepts and data pipeline architecture.Proficiency in data mapping, data profiling, and impact analysis.Experience with large-scale data systems and cloud/data platforms.Strong SQL skills and a solid grasp of data warehousing principles.Familiarity with the banking/financial domain is a plus.Knowledge of AI-assisted development tools (e.g., Claude) is advantageous.Excellent problem-solving and analytical abilities.Preferred QualificationsExperience with AECB data/reporting systems.Exposure to big data ecosystems (Hadoop/Spark clusters).Understanding of data governance and compliance standards.
Join Our Innovative India Tech Hub!Kobie Marketing, a leader in the loyalty industry with over 35 years of expertise, a multi-year Forrester Leader, and recognized as a Top Workplace in the USA, is expanding its global operations by launching a Tech Hub in India. We collaborate with renowned global brands to establish deep connections with their customers through tailored, data-driven loyalty experiences, all while fostering enterprise value through loyalty. This Tech Hub will function as a Global Capabilities Center for a diverse array of technology roles, presenting you with a unique opportunity to significantly influence our growth and presence in India. As we continue to excel in loyalty, delivering cutting-edge customer experiences for some of the world's most prestigious brands, you'll have the chance to work alongside a talented team dedicated to innovation.About the Team and Our VisionAs the Lead Observability Engineer, you will spearhead the strategy, implementation, and advancement of observability practices across all production and delivery environments. Your pivotal role will be to ensure system reliability, enhance performance visibility, and facilitate proactive issue resolution across our platforms.Operating at the crossroads of Engineering, DevOps, and Production Support, you will instill structure, standardization, and intelligence into our monitoring and system management practices. You will lead the transition from reactive operations to a proactive, AI-driven observability model, focusing on automated reliability.In this exciting role, your responsibilities will include:Owning and enhancing the observability platform (e.g., New Relic) to deliver comprehensive visibility across applications and infrastructure.Setting standards for monitoring, alerting, dashboards, and telemetry (logs, metrics, traces).Utilizing AIOps capabilities to enhance anomaly detection, diminish noise, and expedite root cause analysis.Driving automation and self-healing workflows to reduce manual intervention and enhance system resilience.Collaborating across teams to ensure systems are designed with observability in mind and meet reliability objectives.Continuously evaluating system behavior and incident patterns to optimize performance, scalability, and uptime.Join us in building a highly reliable, data-driven, and scalable operational ecosystem, where observability serves as a fundamental pillar for engineering excellence.
Join weekday-1 as a Data Engineer and play a pivotal role in transforming data into actionable insights. You will be responsible for designing and implementing robust data pipelines, optimizing data flows, and ensuring the integrity and security of our data systems. If you're passionate about leveraging data to drive business decisions, this opportunity is for you.
Role Overview fuku is looking for a Data Scientist in Bengaluru, Karnataka. This role focuses on applying data analysis and machine learning methods to support decision-making across the company. The work centers on turning raw data into clear, useful insights that shape products and services.
Join Zeta Global as a Senior Data Engineer, where you'll play a pivotal role in designing, constructing, and managing the data pipelines that drive our cutting-edge AdTech platform. This is an individual contributor position focused on large-scale batch and streaming data processing, delivering reliable data products, and creating analytics-ready datasets that facilitate predictions, agentic workflows, business intelligence reporting, and performance measurement. Collaborate effectively with backend, machine learning, and product teams to ensure the delivery of high-quality, well-structured data with excellent performance and observability. Your Responsibilities: Data Pipeline Development: Construct robust batch and streaming data pipelines using technologies like Kafka and Kinesis to process and enrich extensive event data, including impressions, clicks, conversions, costs, and identity signals. Data Aggregation & Marts: Design and maintain curated aggregates and dimensional models for various stakeholders, including prediction models, agents, BI dashboards, and measurement workflows. Data Modeling & Contracts: Establish schemas, data contracts, and versioning strategies to maintain stability in downstream systems as data sources evolve. Data Quality & Reliability: Implement validation, anomaly detection, backfills, and reconciliation processes to ensure data completeness, correctness, and timeliness according to SLAs and SLOs. Performance & Cost Optimization: Optimize compute and storage resources for scalability, focusing on partitioning, file sizing, incremental processing, and indexing while balancing latency, throughput, and cost. Orchestration & Automation: Develop repeatable workflows with scheduling/orchestration tools (e.g., Airflow, Dagster, Step Functions) and CI/CD practices for data pipelines. Data System Observability: Instrument data pipelines with metrics, logs, lineage, and alerts to enhance the detection and root-cause analysis of data issues. Security & Governance: Implement least-privilege access, comply with PII handling standards, and establish governance controls that align with enterprise policies.
Full-time|Hybrid|Bengaluru, Karnataka, India, APAC
Fivetran builds technology that makes data access simple and dependable. Our platform moves customer data into their warehouses, ready for analysis, with minimal engineering effort. Organizations around the world rely on Fivetran to support their data-driven work every day. Role Overview The Senior Software Engineer will join the Datalakes team in Bengaluru, Karnataka. This group focuses on the systems that power Fivetran’s Datalakes platform, ensuring data moves reliably and efficiently into datalake ecosystems. This is a full-time, hybrid role. Team members work from the Bangalore office two days per week, with flexibility to work remotely the rest of the time. What You Will Do Design and build new features for the Datalakes platform. Improve and maintain existing services to support reliability, scalability, and performance. Address technical challenges in distributed systems, focusing on correctness, operability, and long-term stability. Review code and designs, and influence architectural decisions within the team. Mentor junior engineers and help raise the technical bar across the group. Who We’re Looking For Strong technical skills in building and maintaining large-scale systems. A pragmatic approach to solving engineering problems. Collaborative mindset and willingness to work closely with others. Interest in tackling complex challenges at scale, especially in data and distributed systems.
Join our dynamic team at gsstech-group as a Data Engineer specializing in real-time streaming and event-driven architectures. The successful candidate will play a pivotal role in constructing scalable data pipelines, optimizing streaming systems, and guaranteeing exceptional performance in distributed environments.
Mar 31, 2026
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