Company: Finframe (Fintech)
Format: Remote within Russia
We are looking for a Lead/Senior Data Engineer who is interested not just in supporting existing solutions, but in building a Data Platform from scratch. There will be a lot of hands-on work: launching new components, optimizing performance, developing the Lakehouse and analytical DWH. At the same time, this is a leadership role – building and developing a team, implementing development best practices, processes, and artifacts.
✅Key responsibilities:
Architecture and platform development (jointly with Data Architect):
- Designing the Data Platform architecture (DWH + Lakehouse)
- Selecting technological solutions and tools
- Participating in the development of approaches to Data Quality, lineage, and monitoring
Development
- Designing, developing, and supporting ETL/ELT pipelines
- Developing data marts
- Implementing data ingestion and processing in Lakehouse
- Configuring orchestration and monitoring in Airflow
- Supporting and developing LakeHouse, DWH
- Implementing CI/CD practices for data development
- Documenting development
Team leadership and development:
- Building a Data Engineers team
- Developing competencies, development processes, code review, and implementing engineering best practices
- Planning the platform development roadmap
- Interacting with architects, analysts, and backend teams
Tech stack:
S3, Iceberg, Airflow, Spark, Python, Trino, ClickHouse, Greenplum, DBT, Superset (experience with the stack is mandatory)
📌Our expectations
- Over 6 years of experience in Data Engineering / DWH / Big Data
- Experience with DBT / Airflow / Spark / object storage
- Experience designing a Data Platform or its key components
- Experience optimizing DWH or Big Data system performance
- Experience in technical leadership (lead / tech lead / player-coach)
- Understanding of Data Governance and Data Quality principles
- Will be a plus: experience building a Data Platform from scratch, including an MVP
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Contacts: recruiter contact