Tech Stack
DatabricksPythonAWSETLSQL
Job Description, Responsibilities & Requirements
Description language:
About the Position
Dataforest is looking for a growth-oriented Data Engineer to join our friendly team. As a Data Engineer, you will solve engaging problems using cutting-edge technologies for data collection, processing, analysis, and monitoring.
If you aren't afraid of challenges, this position is just for you!
Responsibilities
- Developing ETL/ELT pipelines and data management solutions
- Implementing data processing algorithms
- Writing and optimizing SQL queries for data extraction and analysis
- Analyzing data and applying processing algorithms to solve business problems
Requirements
- 1+ years of experience as a Data Engineer
- Strong experience with Python
- Proven experience with Databricks and Datafactory
- Experience with AWS/Azure
- Experience building ETL / ELT pipelines
- Proficiency in SQL
We Offer
- Working with a high-skilled engineering team on engaging and complex projects
- Hands-on experience with the latest technologies
- Direct communication with international clients and challenging tasks
- Opportunities for personal and professional growth
- Competitive salary pegged to USD
- Paid vacation and sick leave
- Flexible working hours
- Friendly working atmosphere with zero bureaucracy
- Plenty of team traditions - corporate parties, team buildings, themed events, and much more!
About the Company
Dataforest is a company that values growth and innovation. We provide a dynamic environment where you can develop your skills and contribute to impactful projects.
Application
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