Senior Data Engineer
Core
Design, develop, and evolve modern cloud data platforms to enable data collection, transformation, modeling, and delivery for analysis, reporting, and AI solutions.
Role type
Senior Data Engineer (Consultant)
Builds
Robust data pipelines, ETL/ELT flows, Data Lake/Lakehouse/Warehouse solutions, and automated data delivery systems.
Domain
Cloud Data Engineering, DataOps, DevOps
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Cloud platforms (Azure/AWS/GCP), Databricks/Snowflake, ETL/ELT, Data modeling, Spark, DBT, Airflow, Git, Docker, CI/CD, Infrastructure as Code
Preferred skills
Microsoft Fabric, Terraform, Kafka, Kubernetes, Delta Lake/Iceberg/Hudi, Power BI/Tableau/Looker, Data Mesh, AI/ML/GenAI
Technologies
Azure, AWS, Google Cloud Platform, Databricks, Snowflake, Spark, DBT, Airflow, Git, Docker, Kafka, Kubernetes, Terraform, Microsoft Fabric, Delta Lake, Iceberg, Hudi
Responsibilities
Design and develop modern data pipelines and platforms; Build ETL and ELT flows for large datasets; Model and structure data for analysis, BI, and AI; Optimize performance, data quality, and scalability; Automate deliveries via CI/CD and Infrastructure as Code; Provide technical advisory and continuous improvement for client data platforms.
Seniority
Senior, hands-on IC
