Snowflake Data Engineer - ELT & Analytics Pipelines
Hexaware TechnologiesRole Overview
Hexaware Technologies is hiring a mid-level Snowflake Data Engineer - ELT & Analytics Pipelines. This is a full-time role in US. Part of Hexaware Technologies's Data Engineering hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A leading IT services company in the United States is seeking a Snowflake Data Engineer to design and optimize data ingestion and transformation pipelines. The role involves working with AWS services and Python to build scalable ELT architectures. Candidates should have strong experience with Snowflake and advanced SQL skills, as well as familiarity with AWS. This position requires collaboration with analytics teams to ensure data quality and performance.
Frequently Asked Questions
How do I apply for the Snowflake Data Engineer - ELT & Analytics Pipelines position at Hexaware Technologies?
Use the Apply button above to submit your application directly to Hexaware Technologies. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Snowflake Data Engineer - ELT & Analytics Pipelines position at Hexaware Technologies located?
This position is based in US. Hexaware Technologies has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Snowflake Data Engineer - ELT & Analytics Pipelines at Hexaware Technologies earn?
Hexaware Technologies has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Snowflake Data Engineer - ELT & Analytics Pipelines role at Hexaware Technologies posted?
This role was posted on April 2, 2026 (67 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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