We are hiring a Data Engineer to join our DWH Team, who will help us create our corporate DWH using cloud technologies and best practices for data processing and storage.
Key Responsibilities
- DWH development for Business Users, Analysts and ML Engineers;
- Data synchronization between internal and external systems;
- Development tools for collecting data into DWH;
- Development EL / ELT / ETL pipelines;
- Integration new tools and practices for data governance and data quality;
- Costs optimization.
Skills, Knowledge and Expertise
- 3+ years of experience as Data Engineer;
- DWH development and maintenance experience;
- Good knowledges of Python + best practice for Python;
- Good knowledges of SQL + best practice for SQL;
- Good knowledge of system design best practices;
- Familiar with tech stack as Airflow, Debezium, BigQuery, PostgreSQL, Docker, GitLab(CI/CD), GCP;
- REST API / GRPC API / Message brokers & Queues;
- Best practice for data processing and data storing.
Bonus skills
- GO development experience;
- Experience on modern systems of data storing: Relational, MPP, NoSQL;
- Experience on Google Cloud Platform.
Benefits
- We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- A working environment that gives you autonomy and responsibility from day one.
- You should be comfortable with the idea that the quality of your work will influence the shape of your career.
- Participation in company’s employee stock options program.
- Health Insurance
If this sounds exciting to you, we’d love to hear from you!
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Remote
23.12.2024.
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