Specialist , Data Engineering

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Skills you'll use

What you'll do

• Specialist: Data Engineering

Who can apply

• 5+ years of hands-on experience in data engineering building production pipelines and data 5+ years of hands-on experience in data engineering building production pipelines and data platforms.
• Strong AWS experience: S3, Glue, Lambda, Step Functions, EMR (and/or ECS/Fargate), plus CloudWatch; solid grasp of IAM and encryption.
• Nice to have: AWS certification (Developer/Architect) or equivalent demonstrated expertise.
• Experience working in Agile teams; strong collaboration, communication, and stakeholder management skills.
• Experience with Databricks and lakehouse capabilities (e.g., Delta Lake, job/workflow orchestration, cluster tuning) is strongly preferred.
• Strong SQL skills including complex joins/window functions, data profiling, and performance tuning; understanding of dimensional modeling concepts.
• Proficient in Python and PySpark with solid Spark fundamentals (partitioning, shuffle, caching, file formats) and ability to debug/optimize.
• Strong with GitHub, CI/CD concepts, and engineering practices (code reviews, branching, release management); working knowledge of Docker and Terraform.
• Demonstrated ability to work across teams, drive alignment, and take ownership to deliver outcomes (including production support/on call as needed).
• Nice to have experience in ETL tools such as DBT, Matillion and data quality/testing frameworks (e.g., Collibra) and data governance tools such as Immuta

About MSD

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