Big Data Hadoop ETL || 6-10 Years || Noida
23 hours ago
We are looking for an experienced Big Data Engineer who has strong hands-on experience in Big Data ecosystem tools, database engineering, and ETL pipeline development. The ideal candidate should have strong analytical and problem-solving skills along with expertise in performance tuning and scheduling tools.
Key Responsibilities
Design, develop, and optimize scalable Big Data pipelines.
Work closely with cross-functional teams on data acquisition, transformation, and processing.
Perform ETL workflows, data ingestion, and data processing using Hadoop ecosystem.
Build and maintain data solutions ensuring performance, scalability, and reliability.
Monitor, troubleshoot, and tune data pipelines to ensure optimal performance.
Mandatory Skills
Big Data / Hadoop Technologies: Hive, HQL, HDFS
Programming: Python, PySpark, SQL (Strong query writing)
Schedulers: Control-M or equivalent scheduler
Database & ETL: Strong experience in SQL Server / Oracle or similar
ETL pipeline development & performance tuning
Preferred (Good to Have)
GCP Services: BigQuery, Composer, DataProc, GCP Cloud architecture
Experience in Agile delivery methodology
Terraform coding and IaC knowledge
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