Position: Data Engineer
Company: Digicode
Category: Python
Experience required: 3y
English level: upper

Main requirements:

- Proven experience with Apache Spark
- Proficiency in programming languages like Python and Pyspark
- Hands-on experience with Databricks
- AWS Skills
- S3 for the Data Lake
- Athena
- Glue
- Code optimization
- Performance tuning
- CI with Databricks
- SQL

Desirable requirements:

- Power BI Experience
- Experience with Web Analytics and advertising vendor data

Responsibilities:

As a part of our team, you will be responsible for:
- Driving design and development of data models.
- Implementation and delivery of Data Mesh like solutions for interoperability among various data sets.
- Leading the exploration of data-centric platform technologies and implementing the technologies that you recommend.
- Ensuring data integrity & quality through monitoring and alerting tools
- Planning robust systems that gracefully recover from outages and system issues.
- Provide support for both Analytics and Operational Platforms.

We offer:

- Professional and personal development.
- Comfortable working environment.
- 18+ working days paid vacation.
- Paid sick leaves.
- Medical insurance for employees, for children of employees.
- Language classes.
- Subscription for pool and gym.
- Compensation for visiting professional conferences

Project info:

Data Platform Evolution:
The company is moving into a new era, building a new data platform that will empower Data analysts to provide better insights to Product Analysts as well as empower Data Scientists to run experiments in a more efficient and trusted data environment.
We are in the process of reviewing and enhancing everything around data including how data is collected, moved, stored, and processed.
What data is collected and where it is stored. How to apply machine learning across large datasets.