Data Integration Engineer

Senior-Level Data Engineer •Bachelors with 6+ or Masters with 5+ experience in Computer Science, Engineering, Math or other quantitative field. •5+ Experience with developing Batch ETL/ELT processes using SQL Server and SSIS ensuring all related data pipelines meets best-in-class standards offering high performance. •5+ experience writing and optimizing SQL queries and stored Procedures for Data Processing and Data Analysis. •5+ years of Experience in designing and building complete data pipelines, moving and transforming data for ODS, Staging, Data Warehousing and Data Marts using SQL Server Integration Services (ETL) or other related technologies. •5 + years' experience Implementing Data Warehouse solutions (Star Schema, Snowflake schema) for reporting and analytical applications using SQL Server and SSIS ,or other related technologies. •5+ years' Experience with large-scale data processing and query optimization techniques using TSQL. •5+ years' Experience with implementing audit, balance and control mechanism in data solutions •3+ year experience with any source control repos like GIT, TFVC or Azure DevOps , including branching and merging and implement CICD pipelines for database and ETL workloads. •2+ experience working with Python Pandas libraries to process semi structured data sets, and load them to SQL Server DB.