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DE&A - Core - Big Data Engineering - Hadoop Ecosystem at ZENSAR TECHNOLOGIES SINGAPORE PTE LTD

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Spark, Scala, Apache Iceberg, Apache Ozone, Apache Airflow, HDFS, YARN, Hive, Data Lakehouse Architecture, CI/CD, DataOps, Advanced SQL, Python, Distributed Computing, Functional Programming, Workflow Orchestration

Industry

IT Services and IT Consulting

Description

To excel as a Data Engineer specialized in this modern, high-performance big data stack, you need to master a specific blend of distributed computing, modern storage architectures, functional programming, and workflow orchestration. 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 [https://www.zensar.com/careers/] and join us to Grow. Own. Achieve. Learn. [https://www.youtube.com/embed/i2NZsiQqVnU?autoplay=1&fs=1] 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.

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Responsibilities

Design and implement high-performance big data pipelines using a modern stack of distributed computing and storage architectures. Manage the end-to-end data lifecycle from orchestration with Airflow to storage optimization in a Lakehouse environment.