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описание
Proxify connects tech professionals with long-term remote opportunities at companies worldwide. Since its launch, it has connected over 5,000 developers with more than 1,200 companies.
задачи
Design and implement efficient ETL/ELT data pipelines that integrate data from diverse sources
Develop scalable data models and architectures, including data lakes and data warehouses
Optimize queries and workflows for high performance and data reliability
Partner with analysts, engineers, and business stakeholders to deliver data-driven insights
Establish and enforce best practices for data governance, security, and quality using modern frameworks and tools such as Great Expectations, Monte Carlo, and Collibra
Introduce automation and monitoring to reduce manual processes and improve reliability, using tools such as Prometheus and Grafana
требования
5+ Years of professional data engineering experience
Familiarity with orchestration tools such as Airflow, DBT, and Prefect
Strong proficiency in Python and SQL
Hands-on experience with big data frameworks such as Spark and PySpark
Experience with data warehouse platforms such as Snowflake, BigQuery, or Redshift
Solid knowledge of cloud environments such as AWS, GCP, or Azure
Strong understanding of data modeling and database design principles
Будет плюсом: familiarity with data lakehouse concepts (Delta Lake, Apache Iceberg, or Hudi), experience with streaming tools (Kafka, Kinesis), cloud certifications (AWS, GCP, Azure), exposure to machine learning workflows or advanced analytics
условия
Локация: EMEA
Contract employment
All roles are 100% remote
Access to long-term remote engagements at product companies and personally matched opportunities
