Team Lead Data Engineering

Seeking a Team Lead for Data Engineering to drive data architecture development and lead a team of data engineers. Responsibilities include strategic planning, ETL/ELT processes, and ensuring data quality.

• •Strategic development of data architecture: design and development of data warehouses (DWH, Data Lake, Data Mesh), selection of technology stack for ETL/ELT processes.
• •Leading a team of data engineers (hiring, onboarding, mentoring, conducting 1-to-1s, employee development).
• •Participation in the development and code review of ETL/ELT processes, ensuring data quality and availability.
• •Planning and prioritizing tasks, controlling deadlines and quality of execution.
• •Implementing best practices for CI/CD, testing, documentation, and monitoring of data flows.
• •Organizing interaction with business teams and analysts for uninterrupted data access.
• •Resolving complex technical incidents, ensuring SLA for pipelines.
• •Organizing data security, fault tolerance, and alert systems.

• •Competitive income level (negotiable, depends on experience).
• •Official employment, DMS, payment for professional training and conferences.
• •Work in an ambitious team of professionals, influence on the company's technological strategy.
• •Modern office in the center of Moscow.

• •At least 5 years of experience as a Team Lead / Tech Lead in Data Engineering.
• •Experience in building and operating data warehouses (DWH / Data Lake).
• •Deep knowledge of Python and SQL (various dialects), understanding of OOP and clean code principles.
• •Experience with relational (PostgreSQL, Oracle, SQL Server) and columnar (ClickHouse) DBMS.
• •Understanding of data modeling methodologies (Kimball, Inmon, Data Vault).
• •Expert level proficiency in NiFi, Kafka, Airflow, DBT.
• •Experience with Docker and Kubernetes.

• •Experience in building a Data Engineering team from scratch, understanding of MLOps and supporting ML pipelines.