Senior Scala/Data Engineer
€2,000 per monthGlobalLogic
Role Description
We are seeking a skilled Software Engineer to join our team working on a Scala-based data processing platform. The ideal candidate will have experience building distributed systems and working with cloud infrastructure. You will be responsible for designing, developing, and maintaining robust, scalable services that process and manage large volumes of data. This role will involve:
- Working with a modern Scala stack
- Integrating with AWS and GCP
- Building resilient, observable services for data ingestion and processing
Base salary: 2000 EUR and higher.
Qualifications
- Bachelor's degree in Computer Science or related field, or equivalent experience
- 3+ years of professional software engineering experience, preferably in data engineering or backend systems
- Proficiency in Scala, with experience using sbt for build management
- Strong understanding of functional programming concepts
- Experience with JSON serialization/deserialization (e.g., Circe)
- Familiarity with cloud platforms (AWS and/or GCP), including authentication and authorization mechanisms (IAM, STS, AssumeRole, WebIdentity)
- Experience integrating with AWS SDKs (S3, STS) in Scala
- Experience with Google BigQuery and Dataflow for data processing and analytics
- Experience with SQL and PostgreSQL for data storage and querying
- Experience with asynchronous and concurrent programming (e.g., using FS2, cats-effect)
- Familiarity with distributed messaging systems (e.g., Google Pub/Sub)
- Ability to test and validate code effectively, with experience in unit, component, and integration testing
- Ability to troubleshoot and resolve issues in distributed, cloud-based environments
- Experience with version control systems (Git) and collaborative development workflows
- Strong problem-solving and debugging abilities
- Effective communication and collaboration in a team setting
- Ability to write clear, maintainable, and well-documented code
Requirements
- Work on the intersection of both data and software engineering
- Utilize your expertise in Scala to design, develop, and maintain software features and functionalities for the Standalone Activations Audience Delivery Products
- Implement data processing pipelines using Apache Beam and Bigquery to efficiently process and transform data across various channels and destinations
- Configure and manage workflows using Airflow to orchestrate complex data processing tasks and ensure smooth operation of the system
- Collaborate with cross-functional teams to drive architectural design discussions and implement scalable, maintainable solutions
- Foster a culture of excellence and teamwork, promoting values such as collaboration, accountability, and continuous improvement
- Participate in code reviews, debugging, and troubleshooting to ensure high-quality, reliable software solutions
- Stay updated on industry trends, emerging technologies, and best practices related to Scala, BigQuery, Apache Beam, and Airflow
Benefits
- Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies.
- Empowering Growth: We foster a culture of continuous learning and professional development, providing timely and comprehensive assistance for every consultant through our dedicated Learning & Development team.
- DE&I Matters: We deeply value and embrace diversity, providing equal opportunities for all individuals and fostering an inclusive work environment.
- Career Development: Our corporate culture emphasizes career development, offering abundant opportunities for growth and regular interactions with our teams to ensure engagement and motivation.
- Comprehensive Benefits: We provide a comprehensive benefits package that prioritizes the overall well-being of our consultants.
- Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle, including relocation and rotation options for diverse experiences.
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