Data Engineer: Cloud Data Platforms & Pipelines
Core
Designing and building ETL/ELT pipelines, data platforms, and integrations on Azure and/or AWS to turn raw data into trusted, usable assets for clients.
Role type
Data Engineer (Cloud Data Platforms & Pipelines)
Builds
ETL/ELT pipelines, data warehouses, lakehouses, and integrated data systems
Domain
Cloud data engineering (Azure/AWS) for automotive, manufacturing, banking, retail, and healthcare
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline development, cloud platform expertise (Azure or AWS), SQL, Python, data modeling, orchestration (dbt, Airflow, Databricks), data quality and governance
Preferred skills
Snowflake, Kafka, event streaming, BI tools (Power BI, Looker, Tableau)
Technologies
Azure Data Factory, Synapse, Databricks, AWS Glue, Redshift, S3, dbt, Airflow, Snowflake, Kafka, Power BI, Looker, Tableau
Responsibilities
Designing and building ETL/ELT pipelines feeding data warehouses or lakehouses; Standing up or extending data platforms from the ground up; Integrating data across systems including APIs, databases, and third-party sources; Supporting analytics and BI teams with clean, reliable, well-modeled data
Seniority
Mid-level, hands-on IC
