Data Engineer
We’re expanding our team and looking for a skilled Data Engineer who will accomplish a team for our American client.
We're looking for a specialist with solid experience and understanding of big data technologies. In this role, you will be responsible for ingesting a high volume and variety of enterprise-level data and transforming it into outputs to accelerate decision-making.
Requirements:
- BS+ in computer science or equivalent experience
- 3+ years of experience in Data Engineering
- 3+ years of experience with Python
- Strong experience with AWS stack: Glue, Athena, EMR Serverless, Kinesis, Redshift, Lambda, Step Functions, Data Migration Service (DMS)
- Experience with Spark, PySpark, Iceberg, Delta lake, Aurora DB, DynamoDB.
Nice to have:
- Data modeling and managing data transformation jobs with high volume and timing requirements experience;
- AWS CodePipeline, Beanstalk, Azure DevOps, Cloud Formation;
- Profound skill to collaborate with cross functional teams, including communicating effectively with people of varying levels of technical knowledge;
- Readiness to learn new technologies.
Responsibilities:
- Setting up data imports from external data sources (DB, CSV, API);
- Building highly scalable pipelines to process high-volume data for reporting and analytics consumption;
- Designing data assets that support experimental and organizational processes, and are efficient and easy to work with;
- Close cooperation with engineers, data scientists, product managers, and business teams to make sure data products are aligned with organizational needs.
What we offer:
- Paid training programs and English/Spanish language courses;
- Medical insurance, sports program compensation, pet care and other benefits compensation program, which can be selected by each employee according to personal preferences;
- Comfortable working hours;
- Awesome team events and a wide variety of knowledge sharing opportunities.
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