Data Engineer
Core
Design, develop, and implement unified data platforms for clients across various sectors, ensuring scalable and performant solutions.
Role type
Data Engineer
Builds
Unified data platforms, data pipelines, and data integration solutions
Domain
Consulting / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Spark, Microsoft Fabric, Synapse, Data Factory, Iceberg, Delta, NoSQL (MongoDB, Cosmos DB), Hadoop, Kafka, Airflow, Fivetran, DBT, Streamlit, Pandas, DuckDB, Polars, NumPy
Preferred skills
Data Science interest
Technologies
Microsoft Fabric, Synapse, Data Factory, Iceberg, Delta, MongoDB, Cosmos DB, Hadoop, Spark, Kafka, Airflow, Fivetran, Streamlit, DBT, Python, SQL
Responsibilities
Design and implement data pipelines using various market technologies; Analyze and integrate data from diverse client sources (SQL databases, APIs, flat files, operational systems); Develop flexible, scalable data platforms optimized for Cloud or On-Premise; Collaborate with project teams to ensure deliverable quality and implementation deadlines; Provide technical guidance to clients throughout the project lifecycle; Participate in training clients and internal teams on data management best practices and tools
Seniority
Junior to Mid-level, hands-on IC
