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Senior Data Engineer

2 months ago

Solihull, Solihull, United Kingdom eTeam Full time
About the Role

We are seeking a highly skilled Data Engineer to join our team at eTeam. As a key member of our data engineering team, you will play a crucial role in designing, building, and optimizing our data processing pipelines in a centralized data platform.

Key Responsibilities
  • Data Integration: Integrate data from multiple sources and formats into the Raw Layer of our data platform.
  • Data Modeling and Pipeline Development: Model data and develop efficient data pipelines to enrich and transform large volumes of data with complex business rules, automating data pipelines and streamlining data ingestion.
  • Data Transformation and Quality: Implement data transformation and quality control processes to ensure data consistency and accuracy.
  • Schedule data processing tasks using Airflow.
  • Validation Testing: Write and conduct unit and validation tests to ensure accuracy and integrity of code developed.
  • CI/CD Pipeline Implementation: Set up CI/CD pipelines to automate deployment, unit testing, and development management.
  • Code Improvement: Understand existing code, modify the existing code as per business requirements, and continuously improve for better performance and maintainability.
  • Performance Optimization and Security: Ensure the performance and security of our data infrastructure and follow best practices of data engineering.
  • Contribute to production support, incident and anomaly correction, troubleshoot data-related issues, and implement functional and technical evolutions to ensure the stability of production processes.
  • Team Collaboration: Work closely with data squads and business teams to understand data needs and provide tailored solutions.
Requirements
  • Strong understanding of data engineering principles and practices.
  • Experience with data processing pipelines, data modeling, and data transformation.
  • Proficiency in programming languages such as Scala, Spark, and SQL.
  • Knowledge of cloud object storage, Hadoop, and containerization technologies.
  • Experience with CI/CD pipelines and agile development methodologies.
  • Strong problem-solving skills and attention to detail.