Position: Big Data Engineer
Company: Trinetix
Category: Data Engineer
Experience required: 2y
English level: intermediate

We’re expanding our team and looking for a skilled Big Data Engineer on the project 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 of data and transforming it into outputs to accelerate decision-making.

**Requirements:**

- BS+ in computer science or equivalent experience;
- 1+ years of experience in Data Engineering;
- 2+ 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.

**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 language courses;
- Medical insurance and sports program compensation;
- PE and legal support;
- Comfortable working hours;
- Awesome team events and wide variety of knowledge sharing opportunities.