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
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Data Engineer • India
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