ETL Developer / Data Engineer

Data Engineer, Data Extraction and ETL.

Senior

Upper-Intermediate English

Required Skills

Python

ETL

dbt

Snowflake

Nice to Have

Power BI

AWS

SQL

Looker

GCP

Data Warehousing

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.

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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.

How to Apply for ETL Developer / Data Engineer

Be ready for the next steps:

Create your profile on our website (import from LinkedIn)
20-30-minute screening call
Technical interview feedback
Project Selection (we are looking for the best project for you).

Who can apply:

We work with developers across Europe, LATAM, the U.S. (W-9 form owners), Canada, Asia, Oceania, and the UK.
We do not provide visa assistance, and this cooperation model does not include direct-hire benefits.
We cannot accept applicants from Russia, Belarus, Iran, or North Korea.

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