Data Engineer
Core
Design and implement modern data platforms, build scalable data pipelines, and enable advanced analytics and business intelligence solutions for clients.
Role type
Data Engineer
Builds
Scalable data pipelines, data architectures, and ETL/ELT processes
Domain
Consulting / Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, Apache Spark, SQL, relational databases, data modeling, ETL/ELT pipeline development, cloud environments (Azure/AWS/GCP)
Preferred skills
Python, Scala, orchestration tools (Airflow, Azure Data Factory), CI/CD, data governance tools, Agile/Lean development
Technologies
Databricks, Apache Spark, Delta Lake, SQL Server, Oracle, PostgreSQL, Snowflake, BigQuery, Azure, AWS, GCP, Azure Data Factory, Synapse, Microsoft Purview, Collibra, Informatica
Responsibilities
Design and develop scalable data pipelines and architectures; Build and optimize Databricks-based solutions; Implement and monitor data quality and governance processes; Develop and optimize ETL/ELT processes; Participate in code reviews; Document end-to-end data flows
Seniority
Mid-level (3–5 years experience)
