Data Engineer at ZENSAR TECHNOLOGIES SINGAPORE PTE LTD

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

0.0

Posted On

30 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Apache Spark, PySpark, Big Data, SQL, GCP, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Kafka, Airflow, Cloud Composer, Docker, Kubernetes, CI/CD

Industry

IT Services and IT Consulting

Description

Mandatory Technical Skills * Python – strong hands‑on experience in enterprise‑scale development * Apache Spark / PySpark – building large‑scale distributed data pipelines * Big Data concepts – partitioning, shuffling, performance tuning * SQL – complex queries, joins, and optimization * Cloud exposure on GCP, including: * BigQuery * Cloud Storage (GCS) * Dataflow (preferred) * Pub/Sub (basic understanding) * Experience working with large datasets (TB scale) 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

The role involves designing, building, and optimizing large-scale distributed data processing pipelines on cloud-native platforms. You will support analytics, reporting, and downstream consumption across enterprise systems using GCP technologies.