Big Data Engineer (Java+Spark)

Devire IT Outsourcing is a form of collaboration dedicated to IT professionals, based on the principles of self-employment – B2B – and implementing projects for leading clients pursuing innovative and cutting-edge projects. For our Client in the banking industry, we’re looking for an experienced Big Data Engineer with experience in Java and Spark.

• 1-5 years of professional experience in Big Data engineering, preferably with a background in banking
• Expertise in Spark and Java/Scala
• Additional knowledge of Python, Java, DevOps, Big Data, CI/CD tools, microservices, APIs, Airflow, and GIT
• Strong analytical and problem-solving skills
• A proactive attitude and strong teamwork ability
• Effective communication skills
• Ability to work in a global team across different time zones
• Strong planning and prioritization skills
• Fluency in English (Polish and French are considered an advantage)

• Designing and developing solutions for collecting, transforming, and processing large datasets
• Analyzing data from multiple sources and translating findings into technical specifications
• Industrializing data processing for reliability, robustness, efficiency, and resilience
• Developing and implementing data collection, processing jobs, and data mapping using Spark/Scala
• Conducting code reviews and collaborating with team members for continuous improvement
• Contributing to agile feature teams and helping advance agile best practices
• Delivering IT solutions in Scrum cycles (2-3 weeks) with tangible business value
• Recommending and contributing to big data architecture strategies
• Staying up to date with emerging data technologies and implementing best practices
• Supporting applications and troubleshooting production issues as needed
• Ensuring quality and maintainability of code through best development practices (BDD, TDD, clean code, DevOps)
• Producing technical documentation, test plans, and project deliverables
• Identifying potential project risks related to costs and deadlines, proposing mitigation strategies when necessary