Data Engineer
Core
Design, build, and maintain scalable data infrastructure (ETL/ELT pipelines, data warehouses, lakes) to power insights and decision-making for a global advisory firm.
Role type
Senior IC Data Engineer
Builds
Enterprise data platforms, pipelines, and analytics infrastructure
Domain
Enterprise IT / Data Engineering
Required skills
SQL, Python, PySpark, Apache Airflow, Terraform, Docker, Kubernetes, Microsoft Fabric, Azure Synapse, Azure Data Factory, dbt, Kafka, Git
Preferred skills
Streaming data processing, Data governance frameworks, Cloud certifications, Master's degree
Technologies
Microsoft Fabric, Azure Synapse, Azure Data Factory, Apache Airflow, Databricks, Kafka, Terraform, Docker, Kubernetes, GitHub Actions
Responsibilities
Design and optimize scalable ETL/ELT pipelines across on-prem, cloud, and hybrid environments; Implement and manage enterprise data warehouses, data lakes, and Lakehouse solutions; Write production-quality SQL, Python, and Spark code for data transformation; Enforce data governance, lineage tracking, and cataloging standards; Ensure data quality through automated monitoring and testing frameworks; Partner with data analysts, data scientists, and business stakeholders to fulfill data requirements; Support CI/CD practices and infrastructure-as-code for data platform deployments.
Seniority
Mid-Senior, hands-on IC
