middle data engineer for a retail company
Data Software Engineering, AWS Glue, Amazon Web Services, Apache Spark, Databricks, PySpark, Data Quality, Java
Middle Data Engineer for a Retail Company
We are currently looking for a motivated and experienced remote Middle Data Engineer to become a part of the global team.
responsibilities
- Design, develop, monitor and operate data pipelines for Corporate Governance and P&O initiative
- Integrate datasets for analytical use-cases
- Testing (preparation and execution)
- Maintenance of existing data pipelines incl. alerting, bug fixing, etc.
requirements
- 3+ years of experience with Data Engineering
- 3+ years hands-on experience in Databricks or similar ETL Tools
- Solid experience with Apache Spark, PySpark and Python
- Extensive experience with AWS Glue and Amazon S3
- Knowledge of GitHub and CI/CD
- Knowledge of MicroStrategy or similar analytical tool
- Ability to communicate fluently with english speaking stakeholders and the ability to share ideas and provide reasoning
- B2+ English level
nice to have
- Experience with Advanced Databricks skills like delta, cluster configuration or mlflow
- Experience with integrating sources like Websites, Exasol, REST APIs, SAP, BigQuery, GSheets, Salesforce, Jedox and more
- Knowledge of Data Quality
- Knowledge of Apache NiFi
- Familiarity with Java
benefits for locations
Georgia
For you
- Paid time off
- Paid sick leave days
- Medical insurance
- Stable income
For your comfortable work
- 100% remote work forever
- Free licensed software
- Possibility to work on your own device (BYOD)
- Stable workload
- Relocation opportunities
- Flexible engagement models
For your growth
- Free trainings for technical and soft skills
- Free access to LinkedIn Learning platform
- Language courses
- Free access to internal and external e-Libraries
- Certification opportunities
- Skill advisory service
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