Senior Data Engineer
Skills
- Expertise in SQL, Python, and Apache Spark.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Proficiency in data modeling, ETL processes, and data warehousing.
- Familiarity with BI tools such as Power BI and Tableau.
- Strong communication skills for technical and non-technical audiences.
Responsibilities
- Collaborate with clients to understand data needs and challenges.
- Serve as liaison between technical teams and data consumers.
- Translate business requirements into technical data pipeline specifications.
- Design and implement scalable data engineering solutions.
- Monitor data quality, performance, and reliability, resolving issues proactively.
- Provide training sessions for internal teams and clients.
Education
- Bachelor’s degree in Computer Science, Information Systems, or a related field (implied).
Benefits
- 100% paid medical coverage for employees and their families.
- 401(k) plan with up to 5% match and immediate vesting.
- Employee ownership with annual share grants.
- Generous paid time off starting at 3 weeks.
- Fitness reimbursement and home office allowance.
- Local perks including tickets and memberships to events and attractions.
Average salary estimate
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