Description

You will build and maintain scalable data pipelines and ETL/ELT workflows to ensure efficient data processing across multiple platforms.

Responsibilities

• Design, build, and maintain scalable and efficient data pipelines.
• Develop ETL/ELT workflows using Python and SQL.
• Manage relational databases including Oracle, PostgreSQL, and SQL Server.
• Perform data modeling, performance tuning, and query optimization.
• Collaborate with analysts and stakeholders to meet data requirements and maintain integrity.

Required Skills

• 8+ years of hands-on experience in data engineering.
• Proficiency in Python for data engineering tasks.
• Strong experience with RDBMS such as Oracle, PostgreSQL, or SQL Server.
• Solid understanding of SQL and complex query performance tuning.
• Experience with ETL tools and frameworks.
• Familiarity with data warehousing concepts and data lakes.
• Any Graduate degree.

Preferred Skills

• Experience with cloud platforms including AWS, GCP, or Azure.
• Knowledge of NoSQL databases like MongoDB or Cassandra.
• Familiarity with Apache Airflow, DBT, or other orchestration tools.
• Exposure to Big Data technologies like Spark, Hive, or Hadoop.
• Knowledge of data security and compliance frameworks.

Key Skills

Education

Any Graduate