Job Description
Key Responsibilities
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).
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 sessions (SQL tuning, data modeling, Spark optimization, Git, CI/CD, coding patterns, etc.).
Guide juniors in problem-solving, prioritiz...
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).
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 sessions (SQL tuning, data modeling, Spark optimization, Git, CI/CD, coding patterns, etc.).
Guide juniors in problem-solving, prioritiz...
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