Data Product Engineer
Core
Design, develop, and operate scalable, reusable, and trusted data products that power business intelligence, advanced analytics, AI/ML solutions, and operational decision-making.
Role type
Senior Data Product Engineer
Builds
Enterprise data products, reusable data assets, semantic models, and curated datasets
Domain
Financial services / Data Engineering & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Scala, Java, ETL/ELT pipeline design, cloud architecture, data modeling, data warehousing, metadata management, data quality, CI/CD, Git, Agile methodologies
Preferred skills
Experience with Azure, AWS, Snowflake, Databricks, Microsoft Fabric, Synapse, Redshift, BigQuery
Technologies
Azure, AWS, Snowflake, Databricks, Microsoft Fabric, Synapse, Redshift, BigQuery, Git
Responsibilities
Design and build scalable batch, streaming, and event-driven data pipelines; develop semantic models and curated datasets for self-service analytics; implement data quality validation, observability, and monitoring; partner with governance teams to establish metadata and lineage practices; create technical documentation and architectural diagrams; participate in Agile ceremonies and continuous improvement initiatives
Seniority
Senior, hands-on IC
