Data Engineer

Job Responsibilities

Collaborate with project stakeholders (client) to identify product and technical requirements.

Develop, implement, and tune large-scale distributed systems and pipelines that process large volume of data

Write clean, maintainable, and testable code for data workflows.

Troubleshoot data issues and perform root cause analysis

Must have :

3+ years of Hands-on coding experience in PySpark & SQL .

Excellent verbal and business communication skills.

Worked on complex SQL Query and has work on query performance optimization

Good to have :

Experience working on large-scale data warehouse projects; Teradata experience is a plus.

Experience with ETL tools.

Experience working with workflow scheduler tools; experience with Apache Airflow is a plus.

Working experience with Kubernetes , Unix, github