Senior Data Engineer
Procyon TS
Responsibilities
- Create, maintain, and execute complex SQL queries for data management and validation.
- Demonstrate expertise in data mapping, transformations, validations, and ingestion workflows.
- Monitor data workflows to ensure quality, consistency, and reliability.
- Design and implement scalable, secure data architectures for new and existing applications.
- Configure production solutions and services as needed.
- Act as a change agent to identify organizational improvements and recommend process enhancements.
- Collaborate with product owners, analysts, and software engineers.
- Create and maintain SOP documentation.
- Participate in code reviews, sprint planning, and architectural discussions.
- Mentor junior engineers and promote best practices in data engineering.
- Engage in client/stakeholder meetings.
- Provide after-hours or weekend support when required.
- Work independently while adhering to compliance rules and regulations.
- Complete assignments using department ticketing/productivity systems within deadlines.
- Contribute to organizational and individual goals as outlined in performance reviews.
- Bachelor's degree in Computer Science, Information Technology, or equivalent work experience.
- 8+ years of experience in data engineering or related roles.
- 8+ years of data analysis experience, preferably in healthcare (enrollment, medical claims, pharmacy claims).
- 8+ years of hands-on SQL/PLSQL experience.
- Familiarity with NoSQL databases (MongoDB, Cassandra, Neo4j) for high-volume, low-latency workloads.
- Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake).
- Proficiency in Microsoft Office Suite (PowerPoint, Word, Excel, Outlook).
- Experience with project management tools like JIRA.
- Strong understanding of agile development practices (preferably SAFe).
- Strong analytical, verbal, listening, and written communication skills.
- Flexible work schedule.
Vacancy posted 3 days ago
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