7+ years of experience in data engineering or similar roles.
Expert-level proficiency in SQL and strong knowledge of data modeling (star/snowflake schemas).
At least 3+ Years of hands-on experience with Snowflake (performance tuning, security, warehouse management).
At least 1+ years of strong experience building modular and maintainable data transformations using DBT.
Proficiency in Python for scripting, automation, and data manipulation.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with orchestration tools (eg, Airflow, DBT Cloud).
Good in data warehousing concepts
Monitor and improve data pipeline performance, cost, and reliability.
Provide mentorship and technical leadership to junior data engineers and analysts.
Ensure data quality through rigorous testing, validation, and documentation practices.
Establish data engineering standards and contribute to the overall data strategy.
Nice to have - Experience in Airflow
Nice to have - Experience in Informatica PowerCenter
Nice to have - Experience in MS SQL, Oracle
Understanding on the SDLC.
Understanding on the Agile methodologies.
Communication with customer and producing the Daily status report.
Should have good oral and written communication.
Should be a good team player.
Should be proactive and adaptive.

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