Opis oferty:

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 industry's data requirements.

Wymagania:

• 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.

Dodatki i korzyści:

• 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