Big Data Developer

Talan
Hybrid

About The Position

We are looking for a Big Data Developer responsible for the development, maintenance, and optimization of data processing solutions within the Client Contribution platform. The role focuses on building robust data pipelines, ensuring data quality, and supporting data integration initiatives in a collaborative Agile environment.

Requirements

  • 3+ years of experience in data engineering or software development
  • Strong SQL knowledge (ANSI SQL, Hive SQL, Spark SQL)
  • Hands-on experience with Spark
  • Programming experience in at least one of the following: Scala, Python, or Java
  • Experience with Big Data environments such as Azure Databricks, Amazon EMR, Hive, or Cloudera
  • Familiarity with DevOps and CI/CD practices (Git, GitHub, Sonar, Nexus)
  • Ability to work effectively in Agile teams
  • Strong analytical skills and ability to collaborate with cross-functional teams
  • English proficiency level: B2 or higher

Nice To Haves

  • Explore and leverage AI-assisted tools to improve data engineering and automation processes

Responsibilities

  • Design, develop, and maintain ETL and data transformation processes
  • Implement and support Spark-based data pipelines
  • Contribute to data integration initiatives across the platform
  • Analyze and troubleshoot data-related issues
  • Ensure data quality, reliability, and performance across systems
  • Work closely with functional and technical stakeholders to gather and analyze requirements
  • Collaborate in Agile teams and contribute to continuous improvement of data solutions
  • Participate in DevOps practices and CI/CD processes
  • Explore and leverage AI-assisted tools to improve data engineering and automation processes

Benefits

  • career development opportunities
  • Training opportunities to develop new skills in finance, technology, and data management
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