Senior Data Engineer IRC257695

2 tygodni temu


Kraków, Lesser Poland GlobalLogic Pełny etat

Our Client is a Fortune 500 company and is one of the biggest global manufacturing companies operating in the fields of industrial systems, worker safety, health care, and consumer goods. The company is dedicated to creating the technology and products that advance every business, improve every home and enhance every life.

As a Data Engineer for our Data Mesh platform, you will design, develop, and maintain data pipelines & models, ensuring high-quality, domain-oriented data products. You will collaborate with cross-functional teams and optimize data processes for performance and cost efficiency. Your expertise in big data technologies, cloud platforms, and programming languages will be crucial in driving the success of our Data Mesh initiatives.

Requirements
  • Proficiency in Python for data processing and automation.
  • Strong SQL skills for querying and manipulating data.
  • Minimum of 4 years of experience in SQL and Python programming languages, specifically for data engineering tasks.
  • Experience with Spark and Databricks or similar big data processing and analytics platforms.
  • Experience working with large data environments, including data processing, data integration, and data warehousing.
  • Experience with data quality assessment and improvement techniques, including data profiling, data cleansing, and data validation.
  • Familiarity with data lakes and their associated technologies, such as Azure Data Lake Storage, AWS S3, or Delta Lake, for scalable and cost-effective data storage and management.
  • Experience with NoSQL databases, such as MongoDB or Cosmos, for handling unstructured and semi-structured data.
Job Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
  • Implement data quality checks and ensure data integrity across various data sources.
  • Optimize and tune data pipelines for performance and scalability.
  • Develop and maintain data models and schemas to support data mesh architecture.
  • Work with cloud platforms, particularly Azure, to deploy and manage data infrastructure.
  • Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
  • Document data engineering processes, best practices, and standards.
About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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