Staff Software Engineer

About Gen Digital Gen Digital is a global company focused on digital freedom and security. Our brands include Norton, Avast, LifeLock, and MoneyLion, serving nearly 500 million users in over 150 countries. We provide cybersecurity, online privacy, identity protection, and financial wellness products. Our mission centers on helping people manage and secure their digital and financial lives. We value diverse experiences and ideas, and we see AI as a partner for innovation. Gen Digital encourages autonomy, supports career growth, and offers flexible work options, generous time off, competitive pay, and wellness programs. The company culture emphasizes customer satisfaction, open discussion, experimentation, and continuous learning. Team members collaborate in an environment that respects and values differences as strengths. Senior Staff Data Engineer – Role Overview The Senior Staff Data Engineer will serve as a senior technical leader within the organization. This role focuses on designing and implementing large-scale data solutions that support Gen Digital’s cybersecurity platform strategy. The position combines deep technical skill with organizational influence. Key responsibilities include: Designing complex data architectures for enterprise-scale needs Implementing solutions that support a multi-petabyte data infrastructure Mentoring and guiding engineering teams Shaping the technical vision for data systems serving millions of users Location Chennai, India

ValGenesis builds digital validation platforms for life sciences organizations. Its products support pharmaceutical and biotech companies as they move toward digital processes, maintain regulatory compliance, and ensure manufacturing quality throughout the product lifecycle. Thirty of the top fifty global firms in this industry use ValGenesis solutions. More details about the company's work in paperless validation are available at valgenesis.com/about. Role overview The Senior Software Engineer - Data Engineering position is based in Chennai. This role focuses on developing and maintaining data engineering solutions to support ValGenesis platforms. Work will center on building systems that help life sciences clients manage and analyze data for compliance and quality throughout their operations.

Join Our Team as a Senior Lead Data EngineerAre you passionate about data and technology? At Brillio, we are seeking a highly skilled Senior Lead Data Engineer to guide our data engineering initiatives. You will play a pivotal role in driving data strategy, architecture, and implementation across our projects, ensuring that we leverage data to deliver exceptional solutions for our clients.

Join our dynamic team at minderacraft as a Senior Data Engineer, where your expertise will be pivotal in shaping our data infrastructure. We are seeking a highly skilled individual with a deep understanding of big data technologies, ETL/ELT processes, and data modeling methodologies. Your primary focus will be to design, optimize, and maintain robust data pipelines, ensuring the integrity of our data and supporting our analytics initiatives.

Join our dynamic Data Team at Mindera, where as a Senior Data Engineer, you will play a pivotal role in creating the data pipelines and tables that drive our business-critical dashboards, empower self-service analytics, and support advanced machine learning models and real-time data products. Utilizing state-of-the-art tools such as DBT, Spark, and Airflow, you will convert high-volume raw event data into user-friendly, impactful datasets.You will collaborate cross-functionally with Machine Learning Engineers, Data Scientists, and BI Developers to facilitate data-driven decision-making throughout the organization. Our engineers benefit from a culture of autonomy, innovation, and continuous learning, supported by structured career progression paths and access to training resources.As a Senior Data Engineer, your responsibilities will include:Designing and constructing scalable data pipelines, models, and feature stores to support analytics and machine learning workloads.Deploying and managing cloud-native data applications on AWS, leveraging CI/CD pipelines to automate builds, tests, and releases.Ensuring the technical quality, performance, and reliability of production-grade data pipelines through robust observability and engineering best practices.

About ValGenesis ValGenesis stands at the forefront of digital validation solutions for the life sciences sector. Our comprehensive suite of products empowers 30 of the top 50 global pharmaceutical and biotech firms to embrace digital transformation, ensuring total compliance, and achieving excellence in manufacturing intelligence across their product lifecycle.Discover the opportunity to be part of ValGenesis, the leading standard for paperless validation in the Life Sciences industry: valgenesis.com/aboutAbout the Role:As a Senior Software Engineer in Data Engineering, you will play a pivotal role in developing scalable data solutions that support our innovative products.

YouTrip stands as the foremost and swiftly expanding multi-currency payment platform across the Asia Pacific. Since introducing the region's inaugural multi-currency digital wallet in 2018, YouTrip has earned the trust of millions, processing over US$15 billion in payment transactions annually.Our offerings, YouTrip and YouBiz, empower both consumers and businesses, providing inclusive, accessible, and cost-effective financial solutions. To date, YouTrip has successfully raised over US$110 million, including a recent Series B funding round led by the global venture capital firm Lightspeed Venture Partners, highlighting robust investor confidence in our mission to revolutionize digital financial services in the Asia Pacific region.As a recognized leader in innovation, YouTrip has been acknowledged by the World Economic Forum as a Global Innovator 2025, CNBC as one of the World’s Top Fintech Companies (2025, 2024), and LinkedIn as a Top Startup (2025, 2024, 2023). We are committed to crafting the next generation of digital finance services for consumers and businesses alike.Emphasizing a culture of entrepreneurship, diversity, and inclusion, we invite passionate individuals to join our rapidly growing regional team as we redefine the fintech landscape.We are on the lookout for a highly proficient Staff Software Engineer with exceptional backend technology skills to become an integral part of our dynamic team. In this role, you will significantly contribute to the design, development, testing, and maintenance of our software systems. This position demands a high level of technical prowess, leadership, and the ability to collaborate effectively with cross-functional teams.

We are on the lookout for an exceptional Senior Data Engineer to architect, construct, and sustain scalable data pipelines for our enterprise-level data platforms focused on the Risk & Compliance sector. The successful candidate will possess a deep understanding of PySpark, Python, and data engineering best practices, emphasizing data quality, governance, and security.Key ResponsibilitiesDesign, develop, and enhance scalable data pipelines leveraging PySpark and PythonCreate robust ETL/ELT workflows to manage substantial volumes of both structured and unstructured dataCollaborate with data scientists, analysts, and business stakeholders to produce high-quality datasetsGuarantee data integrity, accuracy, and reliability through comprehensive validation frameworks and monitoringImplement data security and access control mechanisms that align with compliance standardsPartner closely with Risk & Compliance teams to fulfill regulatory and reporting obligationsOptimize the performance of data processing jobs and queriesMaintain and upgrade existing data architecture and pipelinesRequired Skills & Experience6+ years of experience in Data EngineeringExtensive hands-on experience with PySpark and PythonSolid background in SQL and Oracle databasesProven experience in constructing and managing large-scale data pipelinesStrong understanding of data warehousing concepts and ETL frameworksExperience with data validation, data quality, and governance frameworksFamiliarity with cloud platforms (AWS/Azure/GCP) is a plusExperience in the banking, financial services, or risk & compliance domain is preferredKey CompetenciesStrong analytical and problem-solving skillsAdept at working in a fast-paced, collaborative environmentExcellent communication and stakeholder management abilitiesMeticulous attention to detail, especially regarding data quality and securityNice to HaveExperience with Big Data ecosystems (Hadoop, Spark)Knowledge of data security and regulatory compliance frameworksPrior experience with enterprise data platforms

We are seeking a talented Senior Data Engineer with extensive knowledge of real-time data streaming and distributed data processing to architect, develop, and enhance state-of-the-art data platforms. This pivotal role is essential for advancing event-driven architecture and real-time analytics within critical banking systems, particularly in risk and compliance domains.In this position, you will work synergistically with data architects, platform engineers, and business stakeholders to create low-latency, high-throughput data pipelines that empower sophisticated analytics and informed decision-making.Key ResponsibilitiesDesign, develop, and maintain robust real-time streaming pipelines utilizing Apache Kafka, PySpark, and FlinkConstruct scalable and fault-tolerant event-driven data architecturesHandle high-volume streaming data ensuring low latency and high reliabilityIntegrate diverse data sources into centralized data platforms (Data Lake / Lakehouse)Enhance data pipelines for performance, scalability, and cost-effectivenessUphold data quality, governance, and compliance in line with banking regulationsCollaborate with cross-functional teams to convert business needs into technical solutionsMonitor and debug streaming jobs and production pipelinesRequired Skills & Experience5+ years of experience in Data EngineeringDemonstrated proficiency in:PySpark / Spark StreamingApache Kafka (Producers, Consumers, Kafka Streams)Apache Flink or other real-time processing frameworksProven experience in building real-time / near real-time data pipelinesStrong understanding of distributed systems and event-driven architectureProficiency in Python / Java / ScalaExperience with data lakes, ETL/ELT pipelines, and big data ecosystemsFamiliarity with cloud platforms (AWS / Azure / GCP) is advantageousKnowledge of banking, risk, or compliance data systems is highly preferredPreferred QualificationsExperience in the financial services or banking domainExposure to data governance, regulatory reporting, or compliance systemsUnderstanding of CI/CD pipelines and DevOps practices for data platforms

Job Overview:Join our innovative team as a Senior Staff Engineer, where you will leverage your extensive expertise in both frontend and backend development. This pivotal role requires a deep understanding of cloud technologies and database management, enabling you to collaborate effectively with the Engineering, Product, and other stakeholders to architect scalable, secure, and high-performance solutions. As a technical leader, you will champion best practices, mentor peers, and foster cross-functional partnerships. Responsibilities:Technical Ownership: Architect and design complex full-stack solutions that enhance performance across diverse teams and systems.Hands-on Development: Produce clean, maintainable, and efficient code primarily utilizing React (frontend) and Node.js (backend).Cross-Functional Collaboration: Partner with product, design, QA, and DevOps to ensure alignment and deliver substantial business value.Code & Design Reviews: Establish coding standards, regularly review code, and steer design discussions.Scalability & Performance: Enhance applications for speed, efficiency, and scalability across services and user interfaces.Mentorship: Mentor and develop senior/staff engineers and engineering leads, promoting best practices and continuous learning.Tech Strategy: Contribute to the long-term technology vision, assess new tools/frameworks, and mitigate architectural risks.DevOps and CI/CD: Collaborate on infrastructure automation, deployment pipelines, and observability strategies.Security & Compliance: Ensure engineering outputs uphold high standards of security, data privacy, and compliance (e.g., GLBA, GDPR, CCPA).

About Gen Digital Inc. Gen Digital Inc. brings together trusted consumer brands like Norton, Avast, LifeLock, and MoneyLion, serving nearly 500 million users in over 150 countries. The company’s mission centers on digital freedom, cybersecurity, online privacy, identity protection, and financial wellness. Gen’s legacy is built on helping people secure and manage their digital and financial lives. Employees at Gen benefit from flexible work options, comprehensive support, and resources to help them succeed. The company values open communication, experimentation, and continuous learning, and actively welcomes diverse backgrounds and perspectives. Gen offers competitive pay, benefits, and wellness programs to support work-life balance. Role Overview: Senior Data Platform Engineer Location: Chennai, India The Senior Data Platform Engineer joins the Data Platform Operations team, focusing on the daily management and monitoring of Gen’s data platforms and pipelines. This role is key to ensuring smooth operations, ongoing improvements, and reliable maintenance of data infrastructure. What You Will Do Oversee daily operations and health of data platforms and pipelines Drive enhancements for operational efficiency and platform maintenance Work closely with data engineers, analysts, and platform teams Maintain platform stability, observability, and cost-effectiveness Support readiness for new data use cases and business needs What Gen Values Customer focus and a collaborative approach Openness to new ideas and continuous improvement Respect for diverse experiences and backgrounds Supportive teamwork and recognition of individual strengths If the mission and values at Gen resonate, consider exploring a career with the team in Chennai.

About Us:BigID is a pioneering tech startup specializing in cutting-edge solutions for data security, compliance, privacy, and AI data management. We are at the forefront of the data landscape, empowering our customers to mitigate risks, foster business innovation, achieve compliance, build trust, make informed decisions, and maximize the value of their data.We are committed to building a global team united by a passion for innovation and advanced technology. BigID has received numerous accolades, including:Named a Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec AwardsListed in Citizens JMP Cyber 66 as one of the Hottest Privately Held Cybersecurity CompaniesCRN 100 list recognizes BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies for three consecutive yearsRanked among the DUNS 100 Best Tech Companies to Work forFeatured as a Top 3 Big Data and AI Vendor to Watch in the 2023 BigDATAwire Readers' and Editors' Choice AwardsIncluded in the 2024 Inc. 5000 list for the fourth consecutive year!Shortlisted for the 2024 AI Awards in the Best Use of AI in Cybersecurity categoryAt BigID, our team is the cornerstone of our success. Join our dynamic, people-centric culture where you’ll have the opportunity to collaborate with some of the most talented professionals in the industry who prioritize innovation, diversity, integrity, and teamwork.Who We Are Looking For:We are on the hunt for a Senior Data Platform Engineer to enhance our Data Platform team. The ideal candidate will possess substantial experience in data engineering, particularly with Kafka and Elasticsearch, to design and maintain our robust data platforms. You will collaborate closely with cross-functional teams to ensure the scalability and reliability of our data solutions.Role Overview:As a Senior Data Platform Engineer, you will be instrumental in the design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your proficiency in Elastic, Kafka, and Node.js will play a vital role in ensuring the scalability and performance of our data systems.Key Responsibilities:Develop data processing pipelines utilizing Kafka for real-time data streaming.Enhance and manage search functionalities leveraging Elastic technologies.Work alongside product managers, data analysts, and stakeholders to gather requirements and translate them into technical specifications.Lead code reviews and promote best practices in coding and data handling.

Join our dynamic team at Squircle IT Consulting Services Pvt Ltd as a Data Scientist and Data Engineer. In this exciting role, you will leverage your expertise in data science and engineering to drive innovative solutions and enhance data-driven decision-making across various projects.

NielsenIQ is seeking a Senior Software Engineer with a focus on data engineering for its Chennai location. This role centers on building and maintaining scalable data solutions using Python, SQL, Snowflake, and cloud platforms. Role overview Work closely with cross-functional teams to improve data processing systems. The position involves designing, developing, and optimizing data pipelines that support analytics and reporting needs across the organization. What you will do Develop and maintain data engineering workflows using Python and SQL Implement solutions on Snowflake and cloud environments Collaborate with other teams to support data-driven projects Contribute to the ongoing enhancement of data processing capabilities Requirements Strong experience with Python and SQL Hands-on knowledge of Snowflake Familiarity with cloud technologies and DevOps practices Ability to work effectively with cross-functional teams

Lead Data EngineerAs a Lead Data Engineer at Brillio, you will play a pivotal role in designing, implementing, and managing robust data pipelines and architectures that drive our data-driven decision-making processes. You will lead a team of talented engineers and collaborate with cross-functional teams to deliver innovative data solutions that empower our clients and enhance their operational efficiencies.

We are seeking a Staff Frontend Engineer to spearhead the architecture, scalability, and technical direction for our SFCC-based eCommerce platforms. This position transcends traditional development roles, placing a strong emphasis on solution architecture, design leadership, and mentoring of junior engineers.Key ResponsibilitiesWhat You Will DoDefine and own the frontend architecture for SFCC (SFRA) implementations.Lead the development of scalable, high-performance storefront solutions.Collaborate with backend developers, product managers, and stakeholders on solution design and estimates.Make influential technical decisions, ensuring code quality and adherence to best practices.Mentor fellow engineers and guide teams on frontend development standards.Manage complex integrations and optimize performance.Desired QualificationsIn-depth knowledge of SFCC (SFRA) architecture.Demonstrated experience in frontend system design and scalability.Proficient in React and the modern frontend ecosystem.Experience in developing large-scale eCommerce platforms.Ability to drive technical discussions with various stakeholders.Previous experience in mentoring and leading engineering teams.BenefitsWhat We OfferA vibrant, enjoyable, and politics-free workplace culture built on the principles of lean methodologies and self-organization.The opportunity to work with expansive systems that power global enterprises.Competitive salary and comprehensive benefits.About MinderaAt Mindera, we harness technology to create products that we take pride in, collaborating with people we admire. Our core focus lies in Software Engineering Applications, including Web and Mobile. We work closely with our clients to comprehend their products and deliver high-performance, resilient, and scalable software systems that significantly impact users and businesses worldwide. You will work alongside a talented team where everyone contributes to project success. Our culture reflects our commitment to lean and self-organizing principles, encouraging our colleagues to take risks, make decisions, collaborate effectively, and enhance communication.We are passionate about our work and are eager to learn continuously while navigating an Agile, Lean, and collaborative environment.Follow us on LinkedIn: https://tinyurl.com/minderaindiaVisit our Blog: http://mindera.com/ and check out our Handbook: Handbook.

Role overview Forbes Advisor seeks a Lead Data Engineer based in Chennai. The position centers on designing and building data infrastructure to support business strategy and deliver insights. Maintaining data integrity and ensuring that information is available to those who need it are key priorities. Main responsibilities Direct the architecture and implementation of data systems Convert raw data into insights that inform business decisions Collaborate with teams across the company to understand and meet their data needs Create solutions that enable better decision-making through data Collaboration This role works closely with cross-functional teams. Gathering input, clarifying requirements, and delivering tailored data solutions are part of daily work to address real business challenges.

Lead Data EngineerJoin our innovative team at Brillio as a Lead Data Engineer, where you will spearhead data engineering initiatives and lead a talented group of engineers. Your expertise will guide our projects, ensuring the development of robust data solutions that drive business decisions. Collaborate with AI and data engineering experts, and leverage cutting-edge technologies to transform data into actionable insights.

Join Infotel India as a seasoned ETL, Python, and Visualization Lead in our vibrant team. In this pivotal role, you'll spearhead the design and execution of robust ETL processes, craft innovative Python solutions, and develop insightful data visualizations to drive strategic business decisions. As a leader, you will work in synergy with stakeholders, data engineers, and analysts to establish efficient data workflows that yield impactful insights. This is a remarkable opportunity for a technical leader to significantly influence our data initiatives and enhance client outcomes.Key Responsibilities Design, develop, and maintain scalable ETL pipelines. Manage and optimize large datasets to guarantee data quality and integrity. Create data processing solutions utilizing Python. Develop interactive dashboards and reports leveraging data visualization tools such as Power BI, Tableau, or equivalents. Mentor and guide junior team members. Collaborate with cross-functional teams to foster data-driven decision-making. Enhance data workflows and boost system performance.