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Senior Data Engineer
Skills
Computer ScienceWarehouse OperationsData ArchitectureData WarehousingDatabasesEmployee Resource GroupsModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's or Master's degree in Computer Science Information Technology Mathematics or a related field
- 3+ years of data engineering experience in a modern technology stack or equivalent data infrastructure experience
- Deep expertise in Python Go or Scala
- Strong experience with big data technologies and distributed systems
- Proficiency in SQL and relational databases such as PostgreSQL or MySQL
- Hands-on experience with cloud platforms such as AWS Azure or Google Cloud
- Familiarity with data warehousing solutions like Redshift BigQuery or Snowflake
- Knowledge of data modeling data architecture and data governance principles
- Excellent problem-solving skills with strong attention to detail
- Strong communication and collaboration skills across teams
- Ability to maintain work authorization without sponsorship
Nice to have
- Driven
- Creative
- Passionate
- Detail-oriented
- Collaborative
- Empathetic
Day to day
- Design and maintain scalable data pipelines and ETL workflows that power reliable analytics and data integration
- Architect resilient data storage and warehousing solutions across cloud-based systems and databases
- Collaborate closely with AI engineers data analysts and cross-functional teams to translate requirements into high-quality data solutions
- Optimize performance improve reliability and strengthen data quality governance and monitoring across the platform
- Troubleshoot complex data issues quickly to reduce disruption and protect trust in data systems