Senior Data Engineer (Perm, Italy, Hybrid)
Core
Designing, building, and maintaining scalable data platforms, pipelines, and warehouses to support analytics and business intelligence needs for enterprise clients.
Role type
Senior Data Engineer
Builds
Scalable data platforms, pipelines, and warehouses
Domain
Enterprise data engineering and analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Spark, data warehousing, ETL processes, data modeling, cloud platforms (AWS/Azure/GCP), CI/CD, Infrastructure as Code, Git
Preferred skills
Databricks, distributed data processing frameworks (Hadoop), data governance, security and compliance best practices
Technologies
SQL, Python, Spark, Databricks, Snowflake, Redshift, BigQuery, AWS, Azure, GCP, Hadoop, Git
Responsibilities
Designing and optimizing data pipelines and ETL processes for large-scale data ingestion; Developing and maintaining data platforms and warehousing solutions; Implementing scalable data storage solutions; Enhancing performance in data processing workflows; Collaborating with data scientists, analysts, and stakeholders; Ensuring data quality, governance, and compliance; Supporting CI/CD processes for data pipeline deployments; Conducting code reviews and enforcing best practices in version control and testing.
Seniority
Senior, hands-on IC
