ETL Developer / Data Engineer

Data Engineer, Data Extraction and ETL

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Summary

- Start: ASAP
- Duration: 3 months, full-time
- Overlapping (80%) with USA time (EST) is required for this role, so the candidate should be ready & flexible to work in the client's time zone
- Interviewing process: Hackerrank test, Technical Interview, Client Interview
- Locations: Ukraine, Poland, Bulgaria, Romania
- Local PE in one of the indicated locations is needed to sign a B2B contract.

Project Description 

We are looking for a Senior Data Engineer to build and prototype scalable ETL pipelines and build new API integrations to support increasing data volume and complexity.

You will work on multiple projects simultaneously with a team of 4 engineers, so we expect you to adapt to changing priorities in a fast-paced environment.

The client is the venture company that invests and partners with software, and tech businesses.

Responsibilities

  • Use SQL and Python to help find insights into data and collaborate with business stakeholders on specific projects.
  • Create ETL pipelines with dbt, snowflake
  • Use business intelligence tools like Looker and Power BI to create insightful dashboards and visualizations that help stakeholders make data-driven decisions.
  • Write reusable, testable, and efficient code in Python for data ingestion and integration tasks.
  • Act as a problem solver, employing a creative approach to tackle complex challenges and drive continuous improvement in data strategy and execution.

Qualifications

  • Proven experience as a data engineer or in a similar role focusing on data integration and management.
  • Strong programming skills in Python, with experience in API interactions and automation.
  • Experience creating ETL pipelines using dbt, and snowflake
  • Solid foundation in SQL and relational database design.
  • Experience with business intelligence tools such as Looker and Power BI.
  • Excellent problem-solving skills and the ability to think algorithmically.

Preferred Skills

  • Experience with cloud services (AWS, Google Cloud Platform, etc.)
  • Familiarity with version control tools like Git.
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