Position: Data Engineer
Company: EPAM
Category: Data Engineer
Experience required: 3y
English level: intermediate

A good option is an expert who can do Reporting on Microstrategy but is also open to working with Databricks, and picking up these skills.

Responsibilities/Tasks

- Gather business requirements, analyze them, join the dots using data and drive the implementation
- Design, develop, monitor and visualize Customer Data Access
- Overhaul data product
- Integrate high-quality datasets for analytical use-cases
- Support in designing incident management process
- Enable other data teams to follow the standards
- Testing (preparation and execution)
- Operations of data pipelines incl. alerting, bug fixing, etc.


SKILLSET - Tech

Mandatory
3+ years of hands-on experience in Databricks or similar
3+ years of hands-on experience in MicroStrategy
Strong skills in data visualization and data modeling
Good understanding of ETL concepts
Apache Spark, PySpark and Python, SQL
AWS Glue + Amazon S3
GitHub + CI/CD

Nice to have:

Advanced Databricks skills like delta, cluster configuration or Databricks APIs
Experience in new technologies like BigQuery, Airflow, Redshift or Apache NiFi

SKILLSET - Soft skill

English B2 (is able to communicate fluently with English speaking stakeholders, able to share ideas and provide reasoning)
Team player (easy & respectful communications, shares responsibilities for the team's overall success)
Communication skills
Organizational skills  
Mastery in Engineering