Senior Data Engineer: Build Scalable Snowflake Pipelines

Kaleidoscope

Detroit (MI)

On-site

USD 80,000 - 110,000

Full time

5 days ago

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Job summary

Kaleidoscope, an Infosys Company, is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting analytics, reporting, and AI/ML use cases. The ideal candidate has strong hands-on Snowflake on AWS, Python ETL/ELT development, and enterprise scheduling experience with Control-M.

You will collaborate with Data Science, BI, Product, and Platform teams in an Agile delivery model to enable data products and AI-ready datasets.

Qualifications

Bachelor’s degree in CS/Engineering or related field.
9+ years of data engineering experience in enterprise environments.
Strong Snowflake, AWS, IBM DataStage, and SQL expertise.
Experience with data governance, lineage, and metadata practices.
Familiarity with Agile/Scrum and SDLC processes.

Responsibilities

Design, build, and maintain end-to-end data pipelines (batch and near real-time) using Snowflake, AWS services, and Python.
Build and optimize data models in Snowflake for analytics and downstream consumption.
Develop and maintain ETL/ELT workflows using Python and IBM DataStage; migrate/modernize workloads where applicable.
Implement job scheduling, monitoring, and operational support using Control-M; manage SLAs and retries.
Ensure data quality, governance, lineage, and documentation across pipelines.
Tune performance and cost across Snowflake and AWS; optimize queries and storage.