Job Details
Skills And Tools:
Job Description
Evolvice GmbH is a German software services provider with development hubs in Ukraine (Kyiv, Uzhhorod) and well-known companies such as Robert Bosch GmbH, Porsche AG, the WTS tax consulting AG, etc. as customers. Currently, we are searching for a Senior Data Engineer to complete language platform project. We are looking for an active, responsive, and devoted person.
Responsibilities:
- Build and maintain Data Pipelines that process and clean heterogeneous data sources (internal and external, incl. 3rd party APIs);
- Manage our Data Lake (AWS s3);
- Set up and manage our Data Warehouse (AWS Redshift);
- Support the Data team by ensuring top-notch data accessibility;
- Work hand-in-hand with our DevOps team to cost-optimize our data usage;
- Work closely with Product, Engineering and Data leadership to make sound technical decisions across the entire data ecosystem;
- Build systems to track data quality and consistency, ensuring that our data is accurate and up-to-date;
- Implement monitoring tools to detect issues and measure the performance of Data Pipelines;
- Establish, maintain and monitor information security controls over Data Pipelines, Data Lake, and Data Warehouse;
- Become the Subject Matter Expert for all data engineering-related topics;
- Keep track of industry trends, best practices, and technologies to continually improve our technology (and ourselves!);
- Contribute to the hiring, mentorship, and management of junior data engineers (as the Data team expands).
We Offer:
- Financial stability;
- Interesting and challenging projects within professional self-managed teams;
- Friendly team and a comfortable working environment (Cairo office);
- Flexible schedule (8-10 AM start) with a possibility to work assigned hours and/or adjust work schedule as requested by the manager;
- 21 working day paid annual vacation;
- Social insurance -the highest level;
- Paid sick leave;
- Performance review after half of the year.
Working Hours:
Flexible starting time from 8 to 10 in the morning, followed by an 8-hour workday.
Saturday and Fridays are days off except the first month Saturdays and Sundays are days off.
Why You Should Work With Us:
We work as a self-driven team without complex management structures. Our teams make independent decisions without recommendations from the client.
Job Requirements
Requirements:
- 4-5 years of experience in Data Engineer role;
- 2+ years of experience working with ETL/ELT with large amount of data (using Python & SQL);
- 2+ years of experience with OOP (python);
- Expert knowledge of SQL and RDBMS concepts;
- Advanced working knowledge of cloud data architectures (preferably AWS s3, AWS Redshift, AWS Glue, Kinesis and RDS on AWS);
- Experience with job schedulers (e.g. Airflow);
- Knowledge of container technologies (Docker, Kubernetes) and CI pipelines (GitHub Actions, Jenkins);
- At least Upper-Intermediate English.