We’re looking for a hands-on Senior Data Engineer to build scalable enterprise data platforms and high-performance data pipelines supporting analytics, AI, and business operations.What you’ll do:Design and optimize ETL/ELT pipelines and enterprise data architectures.Build high-volume Python ingestion frameworks and REST/GraphQL API integrations.Develop batch, near-real-time, and event-driven data solutions.Ensure data quality, lineage, observability, performance, and cost optimization.Collaborate with AI, architecture, product, and business teams.Must-have skills:Strong production-grade Python and advanced API engineering.Data architecture, system design, Medallion Architecture, CDC, and enterprise data modeling.Databricks, PySpark, Delta Lake, and Snowflake.Azure Data Factory, ADLS Gen2, Azure Synapse, and Event Hubs.Advanced SQL, data pipeline design, Git, and CI/CD.Preferred:Apache Airflow, dbt, Kafka, Terraform, Azure OpenAI, and AI/ML data pipelines.
8 days ago