- 4-8 plus years of experience in data integration, operations, and enterprise platforms
- Demonstrated experience leveraging a wide variety of data analysis/Integration tools: SQL, Oracle/SQL Server, SSIS, Python, Pyspark, Databricks, Azure, ADF, Airflow, Tidal/Control-M/Autosys, Snowflake
- Balanced prioritization, and execution skills with Finance/Banking experience preferred.
- Good expertise in batch processing, data pipelines, and system integrations
- Demonstrates strong knowledge and proficiency in data extraction, transformation, and analytics tools.
- Strong operational governance, SLA management, and risk management skills
- Ability to partner effectively with business, operations, and cross-departments
Must have: SQL, SQL Server, Python, One of the scheduler knowledge(Tidal/Control-M/Autosys/Airflow), Databricks/Pyspark(hadoop), Any cloud (Azure/AWS/GCP)
Good to know: SSIS, ADF, Snowflake
The role requires a person willing to work in the morning and/or evenings shifts ( 7AM-3 PM and 2-11 PM) on rotation basis with weekend coverage.
