Senior Data Engineer
Core
Designing and implementing scalable data architectures, ETL/ELT pipelines, and reliable data workflows for cloud platforms to support data quality, governance, and AI initiatives.
Role type
Senior Data Engineer
Builds
Scalable data platforms, pipelines, and workflows for diverse clients across industries
Domain
Data Engineering, Cloud Infrastructure, AI/ML Support
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, distributed data processing (Spark/PySpark), cloud platforms (Azure, AWS, GCP), orchestration (Airflow), transformation (dbt), Kubernetes, CI/CD, infrastructure as code
Preferred skills
Data Science, Machine Learning, Generative AI
Technologies
Spark, PySpark, Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, Airflow, dbt, Kubernetes
Responsibilities
Design and implement scalable data architectures and ETL/ELT pipelines; Build and orchestrate reliable data workflows using modern tools for cloud data platforms, streaming and real-time analytic; Take an active part in data quality, governance and security; Collaborate with data scientists, ML engineers, developers and other specialists to create value from data; Contribute to machine learning and AI initiatives including feature pipelines and MLOps; Take the lead in technical decisions
Seniority
Senior, hands-on IC
