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Senior Big Data Engineer (MongoDB & Kafka) IRC159040
| Job: | IRC159040 |
| Location: | Poland |
| Designation: | Senior Software Engineer |
| Experience: | 3-5 years |
| Function: | Engineering |
| Skills: | Agile Practices, Big Data, Kafka, MongoDB |
| Remote | Yes |
Description:
We are looking for a Senior Big Data Engineer with MongoDB & Kafka experience for a client of our Fintech portfolio, i.e.: one of the fastly growing financial organizations providing asset management for institutions to help them select their investment strategies. Currently, the Client is aimed to surface MI & Analytics for consumers, looking at API’s, payment volumes etc. You will be working with the focus on streaming data out of Mongo DB using Kafka. It is a great chance to become a part of a distributed, cross-functional team based in Poland.
If you are looking for stability, its something for You! This project is part of an undertaking planned for several years.
Don’t stand back, when the IT world moves forward – create software that drives your world! Don’t waste any second. Apply, and our awesome Recruitment team will introduce you to this big adventure!
Requirements:
- Advanced experience with building stream-processing systems using solutions such as Apache Kafka and Apache Spark streaming
- High experience with designing, implementing and deploying cluster data pipelines using Apache Spark framework (RDD, Dataframe, Streaming)
- Solid experience with SQL databases and NoSQL databases, such as MongoDB
- Very good knowledge of working with APIs
- Proficient understanding of microservices architecture and distributed systems
- Experience with Hadoop ecosystem on-premise or on-cloud
- Good level of English (read/written/spoken)
- Hands-on experience with Docker, Kubernetes, FinTech – will be a plus
- Commercial experience working in bank projects will be a plus
Job Responsibilities:
- Researching, designing, and developing appropriate algorithms for Big Data collection, processing, and analysis
- Selecting and integrating any Big Data tools and frameworks required to enable new and existing product capabilities
- Collaborate closely with the product team to define the requirements and set milestones that relate to Big Data features
- Monitoring performance and advising any necessary infrastructure changes
- Closely interact with the Data Scientists in providing feature-ed datasets
- Perform other duties as deemed appropriate by the management team
What We Offer
Exciting Projects: With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.
Professional Development: We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.
Excellent Benefits: We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies and cultural activities.
Fun Perks: We want you to feel comfortable in your work, which is why we create good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!