The Data Engineer will be responsible for designing, building, and managing the data infrastructure and data pipeline processes for the bank. The ideal candidate will have a strong background in data engineering, excellent leadership skills, and a thorough understanding of the banking industrys data requirements.
responsibilities :
Spark development and design using Scala 2.10+ or Java development or Python development and design using Java 1.8+, automated testing of new and existing components in an Agile, DevOps and dynamic environment.
Promote development standards, code reviews, mentoring, knowledge sharing.
Production support & troubleshooting.
Implement the tools and processes, handling performance, scale, availability, accuracy and monitoring
Liaison with BAs to ensure that requirements are correctly interpreted and implemented.
Participate in regular planning and status meetings. Input to the development process – through the involvement in Sprint reviews and retrospectives. Input into system architecture and design.
Peer code reviews.
requirements-expected :
Experience with most of the following technologies (Apache Hadoop, Scala, Apache Spark, Spark streaming, YARN, Kafka, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services).
Sound knowledge on working Unix/Linux Platform.
Hands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL.
Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.
Understanding of big data modelling techniques using relational and non-relational techniques.
Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects.
Experience with: time-series/analytics dB’s such as Elastic search, scheduling tools such as Airflow, Control-M, understanding of Cloud design patterns, developing Hive QL, UDF’s for analysing semi structured/structured datasets.
Exposure to DevOps & Agile Project methodology such as Scrum and Kanban.
offered :
Competitive salary.
Annual performance-based bonus.
Additional bonuses for recognition awards.
Multisport card.
Private medical care.
Life insurance.
One-time reimbursement of home office set-up (up to 800 PLN).
Corporate parties & events.
CSR initiatives.
Nursery discounts.
Financial support with trainings and education.
Social fund.
Flexible working hours.
Free parking.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
