Data Engineer for Fintech Innovation
2 days ago
We are seeking a seasoned Data Engineer to collaborate on a cutting-edge fintech venture with a global industry leader. As part of our IT hub in Warsaw, you will be responsible for designing and managing horizontally scalable systems that can efficiently handle large data volumes.
The ideal candidate will have minimum 5 years of experience as a Data Engineer with proficiency in SQL, PySpark, and Python. Essential skills include developing scalable data pipelines and performing data transformations, as well as strong experience with frameworks such as Apache Airflow, AWS Glue, Kafka, and Redshift.
You will also work closely with the team to implement batch and real-time data handling using critical tools like AWS services (Lambda, S3, CloudWatch, SNS/SQS, and Kinesis). Proficiency in Git for version control, Airflow for scheduling, Terraform for infrastructure-as-code, and Ansible for automation is also required.
Experience monitoring and maintaining ETL pipelines to ensure high performance and reliability is crucial. Additionally, understanding of CI/CD processes to automate testing, deployment, and versioning is essential.
Nice to Have:
- API Development: Experience in building APIs for data exchange using REST, GraphQL, OpenAPI, or FastAPI.
- Data Platform Innovation: Familiarity with Data Mesh concepts and Self-Service tools, with experience building scalable data platforms, pipelines, and transformations.
Company Overview
Spyrosoft is leading the recruitment process, facilitating a seamless experience for candidates who are ready to shape the future of online shopping and payments.
Job Description
This opportunity is ideal for engineers who value independence, proactiveness, and flexibility. Our engagement begins with a B2B contract through Spyrosoft, transitioning to a direct contract with our Partner after an initial three-month period.
We offer a hybrid work model in Warsaw's vibrant Wola district. English fluency and eligibility to work in Poland are essential, as is the successful completion of a background check to meet the rigorous standards of the financial domain.
Requirements
- Python, SQL, PySpark, AWS, Apache Airflow, Kafka, AWS Glue, Redshift, Lambda, S3, CloudWatch, SNS/SQS, Kinesis, Terraform, Ansible , REST, GraphQL, OpenAPI, FastAPI
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