Senior Data Engineer
Core
Building and operating a scalable data platform (data hub) for HR business systems and analytics.
Role type
Senior Data Engineer
Builds
End-to-end data solutions, ETL/ELT workflows, and data platforms for high availability.
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL tools (DBT, Spark), Snowflake, Cloud infrastructure (Azure/AWS/GCP), Kubernetes, Docker, CI/CD, RESTful APIs, Microservices, Data modeling (dimensional, relational, semantic), Data lineage
Preferred skills
HR domain knowledge, Agentic AI systems, LLM frameworks, Databricks, R, Scala, Full-stack Java
Technologies
Snowflake, Azure, AWS, GCP, Kubernetes, Docker, DBT, Spark, Git
Responsibilities
Engineer end-to-end data solutions on on-prem and cloud infrastructure; Define and build scalable ETL/ELT workflows; Build solutions to scale, monitor, and operate data platforms; Consume and implement RESTful APIs and microservices; Mentor junior engineers through code reviews; Collaborate with developers, product managers, and business stakeholders.
Seniority
Senior, hands-on IC
