Description

You will build and maintain data pipelines using Python across hybrid work environments.

This role is hybrid.

Responsibilities

• Develop, enhance, and maintain ETL pipelines from scratch using Python.
• Write complex SQL queries and procedures across SQL Server, DB2, and Oracle.
• Design and implement data integrations leveraging APIs and web services.
• Model data by creating schemas, defining relationships, and designing efficient table structures.
• Develop and schedule Airflow DAGs for workflow orchestration.

Required Skills

• 8+ years of professional experience in data engineering.
• Expertise in Python for ETL development.
• Proficiency with Cloud Data Warehousing (BigQuery, Delta Lakehouse).
• Strong command of Relational Databases, including SQL Server, IBM Db2, and Oracle.
• Experience designing and implementing data ingestion, cleansing, and governance processes.
• Familiarity with Apache Spark and Big Data processing.
• Experience working with Web Services and API integrations.

Preferred Skills

• Experience with Html and SQL Server Reporting Services.
• Background in Any Graduate education level.

Key Skills

Education

Any Gradute