DE&A -Data Engineering Apache

Zensar · Bengaluru

Design, develop, and implement scalable, resilient, and high-performance data pipelines and data architecturesfor enterprise data platforms.

· Build and optimize ETL/ELT pipelines supporting batch, near-real-time, and streaming data processing requirements.
· Design and implement enterprise data ingestion and integration workflows using Apache NiFi, including data routing, transformation, orchestration, monitoring, and integration across heterogeneous data sources and platforms.
· Develop distributed data processing solutions using Apache Spark with Scala and/or Python (PySpark).
· Design and implement data solutions across relational database management systems (RDBMS) and modern data lakehouse technologies such as Apache Iceberg.
· Build and optimize federated and distributed SQL capabilities using Starburst and Trino query engines.
· Develop event-driven and real-time data processing solutions using Apache Kafka and Spark Streaming / Structured Streaming.
· Lead end-to-end delivery of enterprise-scale data engineering initiatives involving multiple engineering, product, architecture, and business teams.
· Strengthen platform reliability through automation, CI/CD, testing, monitoring, observability, documentation, and operational excellence.
· Improve data quality, performance, scalability, resiliency, and cost efficiency across data platforms and pipelines.
· Support enterprise data governance by maintaining metadata, technical and business documentation, data lineage, data quality controls, and secure access to data assets.
· Partner with security and governance teams to ensure data solutions meet enterprise requirements for privacy, security, access control, compliance, and data lifecycle management.
· Troubleshoot complex production issues, perform root-cause analysis, and implement sustainable solutions to improve platform stability.
· Collaborate effectively with stakeholders across engineering, architecture, analytics, AI/ML, governance, product, and business organizations.

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status. We are seeking an experienced Data Engineer to join our Data Management team and contribute to the design, development, and evolution of enterprise-scale data platforms and capabilities. In this role, you will be responsible for the design, development, and implementation of scalable data pipelines and data architecture that enable reliable, secure, governed, and high-performance access to enterprise data. You will work with modern data engineering technologies including Apache NIFI, ETL/ELT frameworks, Apache Spark, Scala/Python, RDBMS, Apache Iceberg, Starburst/Trino, Kafka, and Spark Streaming.

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