Data Engineer
Core
Design, develop, and improve robust and scalable data solutions by understanding customer needs and collaborating with Data Scientists and analysts.
Role type
Data Engineer
Builds
Robust and scalable data solutions
Domain
Data Intelligence / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, PySpark, Python, Data modeling, DataLakes, Medallion architecture, Cloud infrastructure (Azure/AWS/GCP), Infrastructure-as-code (Terraform/Bicep)
Preferred skills
ELT/ETL automation (Data Factory, dbt), Data visualization (Power BI, Tableau, Qlik, Streamlit), Big Data frameworks (Apache Spark, BigQuery, Apache Flink), MLOps, Cloud-based ML platforms (Azure ML Studio, AWS SageMaker)
Technologies
Databricks, Fabric/Synapse, Snowflake, Azure, AWS, Google Cloud, Terraform, Bicep, PySpark, SQL, Power BI, Tableau, Qlik, Streamlit, Apache Spark, BigQuery, Apache Flink, Azure ML Studio, AWS SageMaker
Responsibilities
Design, develop, and improve data solutions; collaborate with Data Scientists and analysts; work with customers to understand needs and translate them into technical solutions
Seniority
Mid-level to Senior, hands-on IC
