Scala Developer

2 weeks ago

Northampton, Northamptonshire, United Kingdom Infoplus Technologies UK Limited Full time

We are seeking a highly skilled Scala Engineer with a passion for building scalable, data-intensive systems. In this role, you will design, develop, and optimize high-performance data pipelines, working closely with Big Data technologies, distributed systems, and cloud platforms. If you enjoy solving complex data challenges and working with large-scale streaming and batch processing systems, we want to hear from you

Key Responsibilities:
  • Design and develop scalable, high-performance data processing applications using Scala.
  • Build and optimize ETL pipelines for handling large-scale datasets.
  • Work with Apache Spark, Kafka, Flink, and other distributed data frameworks to process massive amounts of data.
  • Develop and maintain data lake and warehouse solutions using technologies like Databricks Delta Lake, Apache Iceberg, or Apache Hudi.
  • Write clean, maintainable, and well-documented code.
  • Optimize query performance, indexing strategies, and storage formats (JSON, Parquet, Avro, ORC).
  • Implement real-time streaming solutions and event-driven architectures.
  • Collaborate with data scientists, analysts, and DevOps engineers to create robust, scalable, and fault-tolerant data solutions.
  • Ensure data governance, security, and compliance best practices in all pipelines.
  • Conduct code reviews, mentor junior developers, and contribute to best practices in functional programming.
Required Skills & Qualifications:
  • Bachelor's or Master's degree in Computer Science Engineering, or a related field.
  • 10+ years of experience in software development with Scala.
  • Hands-on experience with Apache Spark (batch & streaming) using Scala.
  • Experience in developing and maintaining data lake and warehouses using technologies like Databricks Delta Lake, Apache Iceberg, or Apache Hudi.
  • Experience working with open-source data formats JSON, Parquet, Avro, etc.
  • Deep understanding of distributed computing and parallel processing.
  • Experience working on cloud platforms (preferably AWS) and services like S3, EMR, Glue, Redshift, BigQuery.
  • Proficiency in CI/CD pipelines, Docker, Kubernetes, and Terraform.
  • Knowledge of Java, Python, or other JVM-based languages is a plus.
  • Experience with RESTful APIs, GraphQL, and microservices architecture.
  • Strong understanding of functional programming concepts (immutability, monads, higher-order functions).
  • Experience with SQL and NoSQL databases (PostgreSQL, Cassandra, DynamoDB, HBase, MongoDB).
  • Experience with Kafka, Flink, or other streaming frameworks.
  • Experience with data security, lineage, and governance tools.
  • Experience working in Agile environment.
Preferred Experience:
  • Experience of working as a Scala developer/engineer within the technology function of a Global Investment Bank.
  • Experience migrating data applications from Hadoop to AWS Databricks.
Seniority Level:

Mid-Senior level

Employment Type:

Full-time

Job Function:

Finance and Information Technology

Industries:

IT Services and IT Consulting and Banking

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