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Senior Data Engineer
Skills
Computer ScienceBusiness IntelligenceData AnalyticsDownstream Oil And GasDriftEmerging TechnologiesModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- BS degree in Engineering Computer Science or related field or equivalent experience
- 10+ years of general experience in quality testing
- Strong SQL skills with experience writing complex queries to analyze validate and troubleshoot data across multiple systems
- Professional experience in data engineering analytics engineering data quality software engineering or related field with strong focus on data investigation and validation
- Exposure to AI-assisted development tools and hands-on experience applying them to build and deploy AI agents that automate data pipelines code and testing workflows
- Experience working with cloud data platforms and tools such as AWS Redshift Athena Snowflake Databricks or similar technologies
- Proficiency in Python or TypeScript for automation testing and data analysis
- Experience designing or maintaining data quality checks monitoring alerting or observability processes for production datasets or pipelines
- Strong understanding of data structures data modeling transformations lineage and common sources of data defects
- Ability to investigate issues across systems apply business logic and translate ambiguous problems into structured analysis and action
- Experience working with BI reporting tools such as Tableau QuickSight or similar platforms is helpful
- Strong communication documentation and collaboration skills with technical and non-technical teams
- A learners mindset curiosity about emerging technologies and AI-enabled tools and a drive to improve systems and processes continuously
- Ability to support high-priority operational periods and respond effectively to production data issues when needed
- Strong interpersonal and consultative skills
- Highly self-motivated and directed with keen attention to detail
- Strong leadership skills and customer satisfaction orientation
Nice to have
- Attention to detail
- Curiosity
- Self-motivated
- Consultative
- Leadership
- Customer focus
Day to day
- Design and implement automated data quality checks across critical datasets and pipelines to ensure completeness accuracy consistency freshness and schema integrity.
- Build monitoring alerting and observability solutions that detect anomalies pipeline failures data drift and unexpected changes before they affect downstream consumers.
- Investigate data issues across systems transformations and business workflows using SQL Python and cloud tools to isolate root causes recommend fixes and communicate findings clearly.