DE&A -Data Engineering Apache

  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.

Responsibilities

 7+ years of experience in Data Engineering, Software Engineering, Enterprise Data Platforms, or a related technical discipline.
·      Strong hands-on experience designing and delivering enterprise-scale data pipelines and data architectures.
·      Strong understanding of ETL and ELT patterns, data integration, data modeling, and distributed data processing.
·      Hands-on development experience with Apache Spark using Scala and/or Python/PySpark.
·      Experience working with RDBMS technologies and modern lakehouse/table formats, preferably Apache Iceberg.
·      Experience with distributed SQL/query technologies such as Starburst and Trino.
·      Experience designing real-time and streaming data solutions using technologies such as Apache Kafka and Spark Streaming.
·      Understanding of integration patterns across NiFi, Kafka, Spark, RDBMS, and lakehouse platforms for batch and real-time data processing.
·      Strong knowledge of software engineering practices including CI/CD, automated testing, source control, infrastructure/platform automation, observability, and production support.
·      Experience with data governance, metadata management, data lineage, data quality, and secure data access in enterprise environments.
·      Proven ability to lead end-to-end delivery of enterprise-scale data engineering initiatives across multiple teams.
·      Ability to lead technical discussions, influence architectural decisions, establish engineering standards, and mentor engineers.
·      Excellent problem-solving, communication, stakeholder management, and cross-functional collaboration skills.
·      Ability to translate complex business and technical requirements into scalable, maintainable, and production-ready data engineering solutions.
·      Demonstrated ownership mindset with a strong focus on engineering quality, platform reliability, security, scalability, and operational excellence.

Qualifications

NA

About us

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.