Position Overview
We are seeking an experienced, dedicated, and well-organized Middle Data Engineer to join our BI and Data practice.
This position will require someone passionate about delivering high-quality results and technical expertise.
Responsibilities:
- ETL implementation
- Development of data pipelines and migration of data
- Communication with analysts to ensure a good result
- Address issues related to scalability, consistency, reliability, efficiency, and maintainability
Requirements:
• 2-3+ years of experience and a strong understanding of AWS Data Infrastructure
• 2-3+ years of experience and strong knowledge of Glue and Lambda
• 2-3+ years of experience using Python in a Data environment
• Experience in Paradigm for Lakes and Lakehouses
• Upper-intermediate-level of English
Nice to have:
- Experience with Qlik Replicate
- Strong knowledge and understanding of Glue Catalogue
- Experience working with Spark
- Basic understanding of Delta Lake
- Other AWS applications: Lake Foundation, Data Encryption, Event bus
- Experience working in an insurance or Fin-Tech industry company
Tech Stack:
- DataFlow
- Qlik Replicate
- AWS
- Redshift
- Glue integration
- DMS
- Delta Lake
What we offer:
- Financial stability and competitive compensation depending on experience and skills
- Flexibility of Employment Method: Regular Employment Contract or B2B
- Social package – Private Medical Healthcare
- Transparent professional and career growth development plans
- Buddy system
- Flexible work schedule
- 20 working days of paid vacation leave
- 5 days off on demand
- 15 working days of paid sick leave with a certificate
- 4 months of paid Maternity Leave on B2B
- Referral Program
- Access to Language Learning Platform goFluent
- Additional training and certifications
- Friendly team and pleasant working environment