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For Companies At a Glance
- Tasks: Design and deliver large-scale ETL/ELT workflows using Java and big data technologies.
- Company: Global Relay, a leader in enterprise information archiving for over 20 years.
- Benefits: Mentoring, coaching, and a culture that rewards creativity and hard work.
- Why this job: Join a dynamic team and make a real impact on data solutions.
- Qualifications: 5+ years of Java development and experience with big data technologies required.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Global Relay has set the standard in enterprise information archiving for over 20 years, delivering cloud archiving, surveillance, eDiscovery, and analytics solutions that give highly regulated firms greater visibility and control over their data while ensuring compliance with stringent regulations.
Your Role
Joining the Reporting product line, you will work as a member of a highly focused team that specializes in Java-based data engineering, designing and delivering large-scale ELT/ETL workflows on a data lake house platform. You will work with modern big data technologies to move, transform, and optimize data for high-performance analytics and regulatory reporting. The environment encourages autonomy, problem solving, and system-level thinking.
Tech Stack
- Micro‑services Container Platforms: Kubernetes, CRC, Docker
- Big Data Technologies: Apache Spark, Flink, Hadoop, Airflow, Trino, Iceberg
- Dependency injection frameworks: Spring
- Observability: Loki/Grafana
- Large‑scale data processing: Kafka
- CI/CD Build tools: Maven, Git, Jenkins, Ansible
- NoSQL Databases: Cassandra, Zookeeper, HBase
Your Responsibilities
- Develop ETL, ELT and streaming processes using big data frameworks primarily in Java
- Design, implement and provide architectural guidance in deploying microservices as part of an agile development team
- Write unit and integration tests for your Java code
- Collaborate with testers in development of functional test cases
- Develop deployment systems for Java‑based systems
- Collaborate with product owners on user story generation and refinement
- Monitor and support the operation of production systems
- Participate in knowledge sharing activities with colleagues
- Engage in pair programming and peer reviews
About you
Required Experience
- Minimum 5 years of Java development experience in an Agile environment, building scalable applications and services with a focus on big data solutions and analytics
- At least 3 years of experience in developing ETL/ELT processes using relevant technologies and tools
- Experience working with data lakes and data warehouse platforms for batch and streaming data sources
- ANSI SQL or other SQL dialect experience
- Experience processing unstructured, semi‑structured and structured data
- Good understanding of ETL/ELT principles, best practices and patterns
- Experience with big data technologies such as Hadoop, Spark and Flink, and web services technologies
- Experience with Test‑Driven Development and CI/CD pipelines
Attributes
- Good communication skills
- Self‑starter
- Team player
What you can expect
At Global Relay, there is no ceiling to what you can achieve. You will receive the mentoring, coaching, and support needed to reach your career goals. The culture promotes creativity and rewards perseverance and hard work, and you will work alongside talented individuals from diverse backgrounds. Global Relay is an equal‑opportunity employer committed to diversity, equity, and inclusion. We seek to ensure reasonable adjustments, accommodations, and personal time are tailored to meet the unique needs of every individual.
Senior Big Data Engineer (Java Focus) employer: Global Relay
Contact Detail:
Global Relay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Big Data Engineer (Java Focus)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Java and big data technologies. This gives potential employers a tangible sense of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to ETL/ELT processes and big data frameworks. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Global Relay.
We think you need these skills to ace Senior Big Data Engineer (Java Focus)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Java development experience and big data expertise. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about big data and how you can contribute to our team. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this opportunity.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in your previous roles. We value autonomy and problem-solving, so sharing your thought process will help us understand how you approach complex situations.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Global Relay
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Java, Apache Spark, and Kubernetes. Be ready to discuss how you've used these tools in your previous roles, especially in building scalable applications and ETL processes.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Highlight your experience with big data frameworks and how you approached designing and implementing solutions in an Agile environment.
✨Communicate Clearly
Good communication is key! Practice explaining technical concepts in a way that's easy to understand. Be prepared to discuss your collaboration with product owners and testers, as well as your experience in pair programming and peer reviews.
✨Demonstrate Your Passion for Learning
Global Relay values creativity and perseverance, so show your enthusiasm for continuous learning. Share any recent projects or courses you've undertaken related to big data technologies or Java development that demonstrate your commitment to growth.
