- Skills: Strong focus on ETL, SQL, SSIS, Tidal, Airflow
- JD:
- This position is for an Integration engineer with a background in SSIS, Python, SQL and data warehousing for enterprise level systems.
- The position calls for someone that is comfortable working with business users along with business analyst expertise.
- Major Responsibilities:
- • Provide Level 2/3 support of existing ETL processes.
- • Monitor and troubleshoot Scheduled ETL jobs, identify and resolve issues or bottlenecks.
- • Proficient in developing ETL processes in SSIS, Python and SQL (SQL Server / Oracle)
- • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
- • Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
- • Working with structured, semi structured and unstructured data.
- • Implement best practices for data management, security, and governance.
- • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
- Required Skills:
- • 5+ years SSIS development experience
- • 5+ years Python coding experience.
- • 5+ years SQL Server based development of large datasets
- Additional Skills:
- • Experience in Financial Services industry
- • Experience with Enterprise Schedulers / Orchestration platforms such as Tidal, Airflow.
- • Experience in any cloud data warehouse like Snowflake.
- • Experience in Data warehousing - OLTP, Dimensions, Facts, and Data modeling.
- • Experience with Cloud based data architectures, messaging, and analytics.
- • Experience with developing and deploying ETL pipelines using Databricks Pyspark.
- Education:
- • Minimally a BA/BS degree within an engineering and/or computer science discipline
- • Master’s degree preferred
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