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Job Description - 9+ years of rich experience in SQL SSIS with ETL and AWS cloud data and analytics space with solid understanding of Data warehousing product RedShift, ETL and SQL and 3+years with other ETL/Data integration tools and other Databases will be preferred.
- 5+ years of experience in implementing cloud-based data lake/data warehouse technologies.
- Must have experience working with high-volume data and building batch and near real-time ETL processes using AWS services such as Redshift.
- Experience with AWS Redshift and Redshift Spectrum, AWS EMR, PySpark, Glue and Matillion,
- Redshift Data warehouse experience
- Lead data migration and integration efforts
- Craft processes to ensure clean data
- Prior experience with ETL tools like SSIS/Informatica and Databases like SQL server SSIS is required.
- Experience working with RDBMS’s, SQL Server, Redshift, Snowflake, BigQuery, Teradata or Azure SQL -Data WarehouseExperience using Powershell and Python.
- Prepare data for job runs. Support existing jobs. Solve, analyze and repair production issues. o Experience with S3 Object store and other Big Data storage platforms
- Deep understanding of data mapping, data validation, data manipulation, data analysis use cases and Provide observations of the system and suggest automated steps to full-fill the business operations and the requirements.
- 2+ years of experience with visualization tools (Power BI, Tableau or others) is an added advantage.
- AWS Certified Big Data Specialty certification is a plus.
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