Senior Data Engineer

5 days ago


Hyderabad, Telangana, India CHUBB Full time

Job Title: Senior Data Engineer - Azure Cloud Specialist

Overview: We are seeking a highly skilled Senior Data Engineer to lead our data engineering team and drive the development of our cloud-based data solutions using Azure cloud platform.

Key Responsibilities:

  • Lead the design, development, and deployment of large-scale data solutions using Azure cloud platform.
  • Collaborate with cross-functional teams to identify business requirements and develop data engineering solutions.
  • Develop and maintain high-quality, scalable, and secure data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Design and implement data warehousing and business intelligence solutions using Azure Synapse Analytics and Power BI.
  • Develop and maintain data quality, governance, and security policies and procedures.
  • Stay up-to-date with emerging trends and technologies in data engineering and cloud computing.
  • Collaborate with the data science team to develop and deploy machine learning models using Azure Machine Learning and Databricks.

Requirements:

  • 8+ years of experience in data engineering with a focus on cloud-based data solutions.
  • Strong programming skills in Python, SQL, and Azure Data Factory.
  • Experience with Azure Databricks, Azure Synapse Analytics, and Azure Data Factory.
  • Knowledge of data warehousing, business intelligence, and data governance.
  • Experience with data quality, data security, and data compliance.
  • Strong communication and collaboration skills.
  • Experience with Agile development methodologies.

Preferred Qualifications:

  • Azure certifications (DP-200, DP-201, or DP-203).
  • Experience with DevOps and CI/CD pipelines using Azure DevOps, Jenkins, or Git.
  • Experience with cloud-based data storage solutions (Azure Blob Storage, Azure Data Lake Storage, etc.).

Why Join Us: As a Senior Data Engineer at CHUBB, you will have the opportunity to work on cutting-edge data engineering projects, collaborate with a talented team of data engineers and scientists, and contribute to the development of innovative data solutions that drive business growth and success.


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