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Senior Data Engineer at Blinks Labs GmbH (Berlin, Germany)
Posted: 167 days ago
This job post is more than 30 days old and probably filled.
Please consider visiting the company's website for the latest vacancies!
Join us as an empowered Senior Data Engineer and help us to democratize data and to impact our data-enabled business. As part of autonomous cross-functional domain teams you are end-to-end responsible to provide reliable self-serve Data Products on top of a modern data tech stack such as Airbyte, dbt, AWS Glue, DataDog, Monte Carlo, GitHub, and so on.
RESPONSIBILITIES
- Build, operate and serve high-quality Data Products for internal customers
- Design, develop and test data models and pipelines as part of the Data Product
- Drive and implement the DataOps philosophy in everything you do
- Create and maintain architecture and systems documentation
- Collaborate in cross-functional teams together with data analysts and domain experts
- Utilize cutting edge data engineering technologies, tools, and best practices
- Engage in and foster a culture focused on innovation, mentorship, and career growth
REQUIREMENTS
- 5+ years of experience as Data Engineer, Software Developer, or similar
- 4+ years of experience building Data Lake (ideally AWS S3, AWS Glue) and Data Warehouse (ideally AWS Redshift) solutions
- Strong experience with ELT / ETL tools (ideally Airbyte and dbt)
- Demonstrably deep and comprehensive understanding of SQL
- Professional experience in production-grade quality software development for data processing in at least one major programming language (preferably Python)
- Strong data modeling skills and familiarity with SQL (ideally MySQL, PostgreSQL ) and NoSQL (ideally MongoDB, AWS DynamoDB) databases
- Experience with serverless data processing (ideally AWS Lambda, Serverless Framework)
- Experience with data streams (e.g. AWS Kinesis) and message queuing (e.g. RabbitMQ)
- Familiarity with data governance and observability tools to ensure the data quality (ideally DataDog, Monte Carlo, Great Expectations)
- Product Thinking and DataOps mindset
- Strong and clear communication and documentation skills
- A constant will to learn and grow, and to share knowledge with others
- Excellent judgment, analytical thinking, and problem-solving skills
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