Cloud Data Engineering Specialist

3 weeks ago


Delhi, Delhi, India Squareroot Consulting Pvt Ltd Full time

About the Role

Squareroot Consulting Pvt Ltd is seeking an experienced Cloud Data Engineer to join our team in Bangalore or remotely across India. This full-time position comes with a competitive salary of ₹1200,000 - ₹1800,000 per annum.

Job Description

We are looking for a skilled professional who can design, develop, and maintain advanced data solutions using Azure technologies such as Data Factory, Databricks, and MSBI tools. The ideal candidate will have a strong background in cloud-based data engineering, with extensive hands-on experience with Azure services.

Key Responsibilities:

  • Data Pipeline Development: Design, develop, and maintain data pipelines using Azure Data Factory (ADF) to support business analytics and reporting needs.
  • Data Processing Solutions: Implement scalable and efficient data processing solutions using Azure Databricks.
  • Business Intelligence Solutions: Work with MSBI tools (SSIS, SSAS, SSRS) to build and maintain Business Intelligence solutions.
  • Collaboration and Communication: Collaborate with data analysts and business teams to ensure accurate data integration and reporting, and communicate effectively with stakeholders.
  • ETL Process Development: Develop and deploy ETL processes for data extraction, transformation, and loading from various data sources.
  • Data Governance: Ensure data governance and compliance with security policies and best practices.

Required Qualifications:

  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience: 8+ years of experience in data engineering, with extensive hands-on experience with Azure Data Factory and Azure Databricks.
  • Technical Skills: Strong experience in MSBI tools including SSIS, SSAS, and SSRS, proficient in SQL and Python for data manipulation and transformation, and in-depth knowledge of ETL processes, data modeling, and data warehousing concepts.

Preferred Qualifications:

  • Experience in data architecture and designing end-to-end data solutions.
  • Familiarity with other Azure services like Azure Synapse Analytics and Azure Data Lake Storage.
  • Strong understanding of CI/CD pipelines and tools like Jenkins or GitLab.

Soft Skills:

  • Analytical and problem-solving skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Excellent communication and presentation skills.
  • Ability to manage multiple tasks and work in a fast-paced environment.


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