Mid/Senior Data Analytics Engineer
TransferGo
- Vilnius
- Pastovus
- Pilnas etatas
- Develop new and support existing ETL processes by using dbt and Redshift.
- Build data validation rules and data quality monitors for data quality assurance.
- Optimize data workflows for performance, scalability, and reliability
- Ensure compliance with data governance and security standards
- Very good SQL knowledge
- Familiar with database and data modeling techniques
- Experience in performance tunning on Analytical databases (Redshift, BigQuery, Snowflake, etc.).
- Experience with dbt, Git
- You are a good communicator and are able to use English effectively at work
- You can champion engineering innovation and best practices
- You enjoy sharing your experience with other engineers and helping others to succeed
- Data storage: AWS Redshift, S3, MySQL, ElasticSearch,
- Data modeling and transformation: dbt, Glue, Python, Lambda
- CI/CD: Github
- Be part of building a meaningful product in a growing fintech scale-up;
- A competitive rewards package;
- Generous holiday allowance (based on tenure);
- Competitive healthcare insurance / wellbeing package (based on your location);
- An annual training budget of €1,000 to spend on your growth;
- We truly embrace flexibility and our people work from a variety of places (office, hybrid and remote, you can find it all here