Data Engineer - Real-Time Streaming at gsstech-group | Bengaluru, Karnataka

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.

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 team as a Data Engineer within the Data Engineering Chapter, supporting the Group Operations Team. As a vital contributor, you will partner with both business and technical stakeholders to define data needs, execute impact assessments, and create robust, scalable data pipelines utilizing cutting-edge technologies such as PySpark.Key ResponsibilitiesEngage with the Group Operations Team to capture and evaluate data requirementsConduct impact assessments, technical data mapping, and data profilingArchitect and implement data extraction, transformation, and loading (ETL) pipelinesEnhance and fine-tune data pipelines using PySpark as part of the bank's modern technological ecosystemCraft data solutions that align with AECB application data modelsGuarantee data quality, integrity, and consistency across all systemsParticipate in unit testing, deployment, and production supportUtilize advanced AI tools (e.g., Claude) to boost development efficiency and minimize operational errorsCollaborate in an agile environment to foster continuous improvement initiatives

Join gsstech-group as a Senior Data Engineer within our dynamic Data Engineering chapter in the Technology Platform domain. We seek a talented individual with a robust background in real-time data streaming, contemporary data platforms, and the operationalization of AI/ML technologies (AIOps, MLOps, LLMOps).In this pivotal role, you will design, build, and optimize scalable data pipelines that empower advanced analytics and AI-driven solutions.

Join our dynamic team at gsstech-group as a Full Stack Software Engineer! In this role, you will be responsible for developing and maintaining innovative web applications that drive the success of our clients. You will work closely with cross-functional teams to deliver high-quality software solutions that meet both business and user needs. If you are passionate about technology and eager to tackle complex challenges, we want to hear from you!

Role OverviewJoin our dynamic team as an experienced Redis Engineer specializing in RTS Redis (Redis TimeSeries) for real-time data processing and caching. We seek a candidate with robust hands-on expertise in Redis administration, focusing on data dump, persistence, and performance optimization. You will be instrumental in deploying and managing Redis solutions within OpenShift environments.A developer-centric mindset, along with a deep understanding of Redis data structures, pipeline management, and AI integration, is crucial for success in this role.Key ResponsibilitiesDesign, configure, and maintain RTS Redis (Redis TimeSeries) databases to facilitate real-time analytics and time-series data processing.Implement caching, data dump, and persistence techniques to ensure data integrity and enhance performance.Develop and oversee Redis pipelines, prioritizing Redis databases while integrating other databases as necessary.Deploy Redis environments on OpenShift with a focus on scalability, high availability, and fault tolerance.Integrate RTS Redis solutions with Python and DevOps tools to streamline automation and monitoring.Optimize memory usage, query performance, and overall system reliability within Redis.Collaborate with development teams to effectively integrate Redis into microservices and application architectures.Investigate Vector Database integrations and AI-driven caching strategies to elevate performance.Required Skill SetPrimary Skills:Redis Administration (RTS Redis / Redis TimeSeries)Real-time Data ProcessingCaching, Dump, and PersistenceImmediate Deployment and Configuration SkillsAdditional Skills:PythonDevOpsOpenShiftPreferred Combination:RTS Redis + OpenShift Deployment ExperienceGood to Have:Familiarity with Vector Databases (e.g., Pinecone, Milvus, Weaviate)Experience in AI model caching and data managementKnowledge of CI/CD automation for Redis workloads

Join a leading UAE bank as a Business Intelligence Engineer specializing in Power BI.We are seeking a detail-oriented professional with a strong background in data visualization and analytics, particularly within the banking sector. This role requires proficiency in tools like Tableau and Power BI, as well as experience handling large datasets.

Join our innovative team at gsstech-group as a DevOps Automation Engineer. We are looking for a talented professional with extensive experience in automation pipelines, cloud infrastructure, and Oracle database environments. This pivotal role is part of our Technology Engineering group, focusing on developing robust, scalable, and efficient automation solutions across our technology and data platforms.Key ResponsibilitiesDesign, implement, and sustain CI/CD pipelines leveraging tools such as Jenkins and Git.Automate infrastructure provisioning utilizing Terraform (IaaS).Create and manage automation scripts using Groovy, Ansible, and other scripting languages.Work collaboratively with cross-functional teams to adopt and promote DevOps best practices.Guarantee high availability, performance, and scalability of systems and automation pipelines.Integrate and oversee automation workflows in both cloud and on-premises environments.Support and enhance Oracle database environments (preferred).Uphold code quality by adhering to best-practice coding standards and version control.Diagnose pipeline failures and enhance deployment workflows.Engage in Agile ceremonies including sprint planning, stand-ups, and retrospectives.Manage tasks and workflows via tools like JIRA (user stories, boards, tracking).Required Skills & ExperienceProven hands-on experience with:Jenkins (CI/CD pipelines)Ansible (configuration management)Git (version control)Terraform (Infrastructure as Code)Groovy scriptingComprehensive understanding of Cloud DevOps & IaaS architecture.Experience in constructing and maintaining automation frameworks.Familiarity with the software development lifecycle (SDLC) and DevOps methodologies.Knowledge of Agile methodologies (Scrum, Kanban).Preferred SkillsExperience as or with an Oracle DBA.Expertise in database automation and performance tuning.Familiarity with enterprise-level banking or financial systems.Experience with monitoring tools and logging frameworks.QualificationsBachelor’s degree in Computer Science, Engineering, or a related field.3–7 years of relevant experience in DevOps / Automation Engineering.

Join gsstech-group as a Product Engineer, where you will play a pivotal role in designing and developing innovative products that enhance user experience and drive business success. As a part of our dynamic team, you will collaborate with cross-functional teams to bring concepts to life and ensure that our products meet the highest standards of quality.

Join our dynamic team as a MongoDB Database Engineer where you will be responsible for managing, optimizing, and automating production-grade MongoDB clusters in enterprise environments. This role is not for the faint-hearted; it requires a profound understanding of MongoDB internals—we're looking for someone who can own cluster health, performance, and automation from start to finish. Key ResponsibilitiesAdminister and support MongoDB replica sets and sharded clustersDesign and maintain robust high availability and disaster recovery strategiesPerform backups, restores, upgrades, and patching with minimal or zero downtimeMonitor cluster health, replication lag, disk usage, and query performanceDiagnose and resolve issues such as slow queries, locking problems, index inefficiencies, and capacity bottlenecksImplement security best practices including:Authentication & authorization (RBAC)TLS / encryption at restAuditing and access controlsAutomate MongoDB operations using Ansible, scripts, and CI/CD pipelinesSupport MongoDB deployments on AWS / Azure / GCPCollaborate closely with application and DevOps teams for schema design and performance optimizationParticipate in on-call rotations and manage production incidentsMaintain thorough operational documentation and runbooks

Join our dynamic team at GSSTech Group as a Software Engineer specializing in Zafin SaaS solutions. We are on the lookout for innovative minds to enhance our offerings and drive our commitment to excellence in software development. You will work with cutting-edge technologies, collaborate with cross-functional teams, and contribute to impactful projects that ensure our clients receive top-tier services.

Join our dynamic team at gsstech-group as a Senior Software Engineer, specializing in Zafin SaaS solutions. In this pivotal role, you will be responsible for designing, developing, and maintaining innovative software applications that enhance our financial service offerings. You will collaborate closely with cross-functional teams to deliver high-quality solutions tailored to meet our clients' needs.

Join our innovative team at gsstech-group as a Senior Product Engineer. In this role, you will lead the design and development of cutting-edge products that push boundaries and redefine standards. You will collaborate closely with cross-functional teams to drive product innovation and ensure quality throughout the lifecycle.

We are seeking a highly skilled Senior Software Engineer to join our dynamic team at gsstech-group. In this role, you will be responsible for developing and implementing innovative software solutions that enhance our Zafin RBP product. You will collaborate with cross-functional teams to deliver high-quality software that meets customer needs.

Join our dynamic team at gsstech-group as a Senior Oracle ERP Engineer specializing in Finance and Procurement ERP solutions. You will be pivotal in enhancing and managing our Oracle ERP implementations, ensuring they align with global compliance and operational excellence.Key Responsibilities:Serve as the primary Subject Matter Expert (SME) for our Oracle Fusion ERP system, overseeing solution design and implementation.Manage enhancements, quarterly updates, and the overall financial architecture post-implementation.Collaborate with cross-functional teams to troubleshoot and resolve issues, ensuring optimal system performance.

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.

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!

Join our innovative team at gsstech-group as a Technology Engineer specializing in Kafka and streaming platforms. We seek a talented individual with extensive knowledge of cloud technologies and CI/CD practices. The successful candidate will be adept at developing and overseeing high-performance streaming platforms and cloud-native applications, showcasing a robust knowledge of event-driven architecture and contemporary DevOps methodologies.

Join the team as an Azure Data Engineer for one of Weekday's esteemed clients!With a minimum of 3 years of experience, you will play a pivotal role in designing, constructing, and managing scalable data solutions on Microsoft Azure.As an Azure Data Engineer, you will develop and optimize data pipelines and workflows to bolster business intelligence, analytics, and data science initiatives. Your expertise in Azure-native tools and services will ensure the delivery of robust, secure, and high-performance data solutions.Key responsibilities include building and maintaining ETL/ELT pipelines using Azure Data Factory, enabling efficient data ingestion from diverse structured and unstructured sources. You will utilize Azure Data Lake Storage and Azure Blob Storage for managing extensive datasets while ensuring data organization and governance.Furthermore, you will leverage Azure Synapse Analytics or Azure SQL Database to transform and model data for downstream applications. Collaborating closely with data analysts, scientists, and cross-functional teams, you will address business requirements and deliver dependable data solutions.In this role, maintaining data quality, integrity, and security through best practices and governance policies will be essential. Monitoring, troubleshooting data pipelines, optimizing performance, and ensuring high availability will be integral to your tasks.

At Branch, we empower every interaction with reliable links and valuable insights that drive measurable growth. Our advanced attribution, powered by AI-driven linking, is trusted to facilitate seamless experiences that enhance ROI, reduce wasted expenditures, and eliminate fragmented attribution.We uphold the same commitment to building our team, enabling our members to act swiftly, take ownership of results, and create impactful solutions. We take pride in investing in our team's health, wealth, and professional development so each individual can flourish as we expand. Our culture values intelligent, humble, and collaborative colleagues who embrace accountability and produce results in an environment where their contributions significantly advance the business.We are innovative, intentionally scaling, and led by experienced leaders who understand the nuances of building lasting companies. Trusted by notable brands like Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we strike the perfect balance of being substantial enough to make an impact while remaining small enough for you to create a meaningful difference. If you are energized by the challenge of building, rapid learning, and shaping the future of customer growth, you will find your place here.In your role as a Senior Data Engineer, you will design, build, and manage components of our robust real-time and batch data pipelines, processing petabytes of data. Our platform is engineered to ingest and analyze billions of events daily, making the resulting aggregations and insights available within minutes in our analytical data stores. Data Analytics is central to our operations, and we continuously innovate to enhance our systems' performance, timeliness, cost-effectiveness, and reliability. You will enhance our core data infrastructure and pipelines using state-of-the-art technologies such as Flink, Spark, Kafka, Iceberg, and Druid while operating within the AWS cloud environment.If you are eager to develop systems capable of processing billions of data points a day and explore petabytes of data, and are ready to push the boundaries of what is feasible with data, this is the place for you!