Big Data Developer

Job Description– Big Data Engineer

Experience: 8+ Years

Location: Chennai & Gurgaon

Mode: Hybrid

We are looking for a Big Data Engineer with strong experience in SQL, Hive, ETL pipelines, PySpark, and GCP to design and build scalable data solutions for large, complex datasets.

Key Responsibilities

• Develop and optimize Big Data pipelines using SQL, Hive, PySpark, and ETL frameworks.
• Build and maintain scalable data solutions on GCP (BigQuery, BigTable, Dataflow, Dataproc, etc.).
• Design and implement data models for analytical and operational systems.
• Work with diverse storage systems — relational, NoSQL, document, column-family, and graph databases.
• Ensure high performance, reliability, data quality, and secure data management.
• Optimize SQL queries and improve performance across distributed systems.
• Collaborate with cross-functional teams following Agile/Scrum methodologies.

Required Skills

• Strong hands-on experience with SQL , Hive , PySpark/Python , and Big Data ETL .
• Experience with GCP Big Data services (BigQuery, Dataflow, BigTable, etc.).
• Knowledge of NoSQL systems (HBase, Cassandra, MongoDB, etc.).
• Understanding of distributed systems, data storage formats, and performance tuning.
• Experience with data modeling tools (ErWin, ER/Studio).
• Familiarity with data management concepts: replication, partitioning, encryption, high availability.

Nice to Have

• Experience with OLTP/OLAP systems.
• Understanding of infrastructure for performance tuning (e.g., Nutanix, network-attached storage).
• Exposure to Java or other programming languages.