Description

You design and build end-to-end data products within an agile SDLC team.

This role is hybrid.

Responsibilities

• Build ETL pipelines from scratch using Python.
• Develop and maintain Airflow DAGs for orchestration.
• Process large-scale data using Spark and PySpark.
• Write efficient SQL queries and stored procedures across SQL Server, DB2, and Oracle.
• Implement data models, schemas, and entity relationships.

Required Skills

• 5+ years of experience in data engineering.
• Expert-level Python programming.
• Proficiency in Airflow, Spark, and PySpark.
• Strong RDBMS knowledge (Ms Sql, DB2, Oracle) including DML, triggers, and materialized views.
• Experience with Big Data and Data Warehousing concepts.
• Hands-on experience with Node.js and JSON.
• Proficiency in at least one OOP language: C, C++, or Java.

Preferred Skills

• Experience with Apptio.
• Familiarity with Qlik, Tableau, or Power BI.
• Knowledge of system integration via SOAP, REST, and SSIS.

Key Skills

Education

Bachelor's degree