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Job Description

My client is a large insurance company committed to enhancing business intelligence and data capabilities across existing enterprises. As they embark on their ambitious BI modernization project, they are now seeking a talented and experienced Data Engineer to join a growing team.

The role will be working with cutting-edge technologies and a team of dedicated professionals focused on making a real impact to drive innovation and improvement across existing data landscape.


Responsibilities of the Role:

  • Manage and Administer the Cloud Data Platform

    • Maintain existing data pipelines across various projects, ensuring they are efficient and sustainable.

    • Optimize data ingestion and curation layers to enhance performance and scalability.

    • Review and improve database models and architecture as needed.

    • Innovate the data platform by suggesting and implementing improvements in operationalization, DevOps, and security, including the development, and testing of Proof of Concept (PoC).

    • Provision necessary components in both Azure and non-Azure environments.

  • Data Pipeline Development and Guidance

    • Provide expertise in the development of new data pipelines and ingestion processes for diverse projects.

    • Offer strategic guidance and possibly build data pipelines tailored for analytics use cases or data science projects.


Required Skills for the Role:

  • Degree in Computer Science, software engineer or related fields

  • Minimum of 5 years of experience in a Data Engineer role, with hands-on exposure to cloud or on-premises tools.

  • At least 1 year of practical experience with Databricks, including:

    • Workspace configuration.

    • Cluster optimization.

  • Proficiency in Python and SQL.

  • Knowledge of data ingestion from traditional databases, data lakes, and APIs.

  • Familiarity with Azure technologies (e.g., SQL Server DB, Storage Account, Logic Apps) is highly preferred.

  • Strong background in building data platforms or data warehouses, with a focus on data modeling

  • Excellent communication skills in English, both written and verbal.

Please send your resume highlighting your relevant experience to