Senior Data Engineer
Core
Design, implement, and scale production-grade data pipelines and real-time data streams for clients in diverse industries.
Role type
Senior Data Engineer
Builds
Scalable data solutions, cloud-ready applications, and data-centric product experiences
Domain
Cloud data engineering, big data processing, and data warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced Python, SQL, ETL design, cloud platforms (AWS/GCP/Azure), relational and non-relational databases, data warehousing, massive parallel processing
Preferred skills
Spark, Pandas, Data Lakehouse technologies (Hudi, Delta Lake, Iceberg), Infrastructure as Code, CI/CD, data visualization
Technologies
Python, SQL, AWS, GCP, Azure, MySQL, MongoDB, OpenSearch, DynamoDB, Neo4j, Spark, Pandas, Hudi, Delta Lake, Iceberg, QuickSight
Responsibilities
Build scalable production-grade data pipelines and real-time data streams; Write and design scalable, cloud-ready applications; Lead technical projects through architecture, design, and implementation; Collaborate with cross-functional teams to triage data or ETL issues; Build tests and health checks to maintain code and data quality; Monitor and analyze data flow with visualizations and dashboards
Seniority
Senior, hands-on IC
