Senior Data Engineer

Key Responsibilities

1. Data Engineering & Architecture

• Design, build, and optimize end-to-end data pipelines (batch & streaming) across Enterprise Data Lake, DWH, and analytics platforms.
• Implement efficient ETL/ELT processes using tools such as Spark, Python, SQL, Kafka, NiFi, or Airflow.
• Work with both structured and semi/unstructured data and ensure high performance, scalability, and data quality.
• Lead root-cause analysis and optimize data pipeline performance across systems (Hive, Impala, Iceberg, Oracle & Postgres).

2. Mentoring & Team Leadership

• Provide guided mentorship to junior and mid-level engineers—pair programming, code reviews, and hands-on coaching.
• Train the team on best engineering practices , including coding standards, documentation, version control, testing, and pipeline monitoring.
• Conduct knowledge-sharing ...