Job Description
- Develop and maintain cloud solutions using GCP tools (Google Cloud Storage, Big Lake, BigQuery, Cloud Composer, Dataform).
- Design and implement efficient ETL/ELT processes for data warehousing and BI solutions.
- Write and maintain high-quality code using SQL, Python, and PySpark.
- Implement data historization and versioning strategies.
- Create and maintain CI/CD pipelines using GitLab.
- Analyze business requirements and design solutions for data integration and consolidation.
- Apply agile methodologies (Kanban or Scrum).
- Utilize DWH-typical data modeling techniques (UML, meta-based frameworks).
- Ensure adherence to DevOps practices and state-of-the-art build and deployment methods.
Company Description
T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a proud recipient of the prestigious Great Place To Work® Certification™. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates across Pune, Bangalore, and Nagpur, boasting a dedicated team of 3500+ employees providing services to group customers. T-Systems offers integrated end-to-end IT solutions, driving the digital transformation of companies in all industries, including automotive, manufacturing, logistics, and transportation, as well as healthcare and the public sector. T-Systems develops vertical, company-specific software solutions for these sectors. T-Systems International GmbH is an information technology and digital transformation company with a presence in over 20 countries and a revenue of more than €4 billion. T-Systems is a world-leading provider of digital services and has over 20 years of experience in the transformation and management of IT systems. As a subsidiary of Deutsche Telekom and a market leader in Germany, T-Systems International offers secure, integrated information technology and digital solutions from a single source.
Job Description
Experience: 6 to 10 Years
Responsibilities:
- Develop and maintain cloud solutions using GCP tools such as Google Cloud Storage, Big Lake, BigQuery, Cloud Composer, and Dataform
- Design and implement efficient ETL/ELT processes for data warehousing and BI solutions, including optimization for bulk data handling
- Write and maintain high-quality code using SQL, Python, and PySpark
- Implement data historization and versioning strategies for software and data
- Create and maintain CI/CD pipelines using GitLab
- Analyze business requirements and design overall solutions for data integration and consolidation
- Apply agile methodologies such as Kanban or Scrum in project management
- Utilize DWH-typical data modeling techniques, including UML and meta-based frameworks
- Collaborate in intercultural, near-offshore project environments
- Ensure adherence to DevOps practices and state-of-the-art build and deployment methods
Additional Information
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