Cloud Data Engineering Professional

7 days ago


Bengaluru, Karnataka, India Tata Consultancy Services Full time

Job Overview

Tata Consultancy Services is seeking an experienced Cloud Data Engineer to join our team. As a key member of our data engineering team, you will play a crucial role in designing, building, and maintaining cloud-based data platforms.

Salary: ₹20 Lakhs - ₹25 Lakhs per annum (inclusive of all benefits)

Location: Bangalore

Key Responsibilities:

  • Design and implement scalable, secure, and efficient cloud data architectures using Azure cloud services.
  • Collaborate with cross-functional teams to deliver modern data engineering solutions that meet business requirements.
  • Develop and maintain technical documentation, ensuring consistency and accuracy throughout the project lifecycle.
  • Prioritize tasks, manage multiple projects simultaneously, and meet deadlines while ensuring high-quality delivery.
  • Communicate effectively with stakeholders, including technical and non-technical audiences, to ensure successful project outcomes.

Required Skills and Qualifications:

  • 2+ years of experience in cloud data engineering using Azure cloud services, specifically Azure Data Factory, Data Lake Storage, Databricks, and Azure Synapse Analytics.
  • Strong understanding of data modeling, integration, and design techniques.
  • Excellent problem-solving skills, with the ability to troubleshoot complex issues and provide creative solutions.
  • Experience with agile methodologies and version control systems like Git.
  • Ability to work collaboratively as part of a distributed team and communicate effectively with stakeholders.

Benefits:

  • A comprehensive compensation package, including salary, bonuses, and benefits.
  • The opportunity to work on cutting-edge technology projects and contribute to the growth of a global organization.
  • Access to training and development programs to enhance your skills and career prospects.
  • A collaborative and inclusive work environment that values diversity and employee well-being.


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