Job Description & Scope
Job description Location: Noida (In-office/Hybrid; client site if required) Type: Full-Time | Immediate Joiners Preferred Must-Have Skills: GCP (BigQuery, Dataflow, Dataproc, Cloud Storage) PySpark / Spark Distributed computing expertise Apache Iceberg (preferred), Hudi, or Delta Lake Role Overview: Be part of a high-impact Data Engineering team focused on building scalable, cloud-native data pipelines. You'll support and enhance EMR platforms using DevOps principles, helping deliver real-time health alerts and diagnostics for platform performance. Key Responsibilities: Provide data engineering support to EMR platforms Design and implement cloud-native, automated data solutions Collaborate with internal teams to deliver scalable systems Continuously improve infrastructure reliability and observability Technical Environment: Databases: Oracle, MySQL, MSSQL, MongoDB Distributed Engines: Spark/PySpark, Presto, Flink/Beam Cloud Infra: GCP (preferred), AWS (nice-to-have), Terraform Big Data Formats: Iceberg, Hudi, Delta Tools: SQL, Data Modeling, Palantir Foundry, Jenkins, Confluence Bonus: Stats/math tools (NumPy, PyMC3), Linux scripting Ideal for engineers with cloud-native, real-time data platform experience especially those who have worked with EMR and modern lakehouse stacks. Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills BigQuery Cloud StorageApache IcebergPySparkDelta LakeDataprocData ModelingDataflowSQL
