Senior Data Engineer
This is an exciting opportunity to join a well-established team focused on transferring and provisioning data across various platforms.
The successful candidate will lead Extract, Transform, Load (ETL) processes using Informatica Cloud and SQL Server Integration Services (SSIS), manage data movement between Microsoft SQL Server, Snowflake, and Amazon Simple Storage Service (S3) storage, and develop, optimize, and triage Microsoft SQL Server stored procedures, views, and existing code based on evolving business requirements.
Key Responsibilities:
* Lead ETL processes using Informatica Cloud and SSIS to create centralized, reusable datasets.
* Manage data movement between SQL Server, Snowflake, and S3 storage to create scalable, high-performance datasets.
* Develop, optimize, and triage MS SQL stored procedures, views, and existing code based on changing business needs.
* Ingest data from various sources including SQL databases, CSV files, and APIs.
* Design and build datasets and reports in Tableau by collaborating closely with stakeholders.
* Define and lead reporting requirements, partnering with business users to deliver actionable insights.
Essential Skills & Experience:
* Strong expertise in ETL development with Informatica Cloud and SSIS.
* Advanced SQL skills across MS SQL Server and Snowflake.
* Experience with S3 storage integration for data centralization.
* Proven ability to ingest and process data from diverse external sources.
* Proficient in Tableau report development and stakeholder engagement.
About the Role:
This is a 12-month contract, hybrid role that offers competitive daily rates. Immediate interviews with prompt start dates are available.