remote
Senior Manager, Data Engineering - True Anomaly
Data Engineer
Lead data engineering initiatives to build scalable pipelines and optimize cloud infrastructure for analytics and machine learning workloads.
About the role
Key Responsibilities
- Design and implement scalable data pipelines to support analytics and machine learning workloads
- Optimize data storage and retrieval systems for performance and cost efficiency
- Lead cross-functional teams to define data architecture standards and best practices
- Ensure data quality, security, and compliance with regulatory requirements
- Mentor junior engineers and foster a culture of technical excellence
- Evaluate and integrate emerging data technologies and tools
Requirements
- 7+ years of experience in data engineering or related fields
- Expertise in SQL, Python, and distributed computing frameworks (e.g., Spark)
- Experience with cloud platforms (AWS/GCP/Azure) and data warehousing solutions
- Strong understanding of data modeling, ETL processes, and data governance
- Proven leadership in managing technical teams and projects
Skills
data pipeline architecturebig data technologiessqlpythoncloud platformsdata governance