Experienced Data Engineer
Core
Build scalable, cloud-native data pipelines and platforms to transform complex data ecosystems into actionable insights and AI-powered analytics for clients.
Role type
Senior Data Engineer (Cloud & AI)
Builds
Modern data lakes, real-time pipelines, and cloud-native data platforms
Domain
Technology Consulting / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, ETL development, SQL, Python, Spark, Data modeling, Cloud platforms (Azure/AWS/Snowflake), Streaming solutions (Kafka)
Preferred skills
Data Warehouse/Lakehouse architecture, Advanced cloud data platforms, Streaming technologies
Technologies
Azure Data Factory, Databricks, Airflow, dbt, Informatica Cloud Data Integration, Kafka, Snowflake, Azure, AWS
Responsibilities
Develop scalable data pipelines for batch and streaming workloads; Build data transformations and integrations; Collaborate with architects to translate business needs into technical specs; Contribute to data platform modernization; Participate in client workshops and solution design; Support testing, deployment, and monitoring of data solutions
Seniority
Mid-Senior, hands-on IC
