Data Engineer

4 weeks ago

Bengaluru, Karnataka, India ThoughtFocus Full time

About the Company

ThoughtFocus helps forward-looking companies and organizations in the financial services, manufacturing, and higher education/public services sectors innovate and achieve a better future faster. Clients rely on ThoughtFocus for domain expertise, innovation, modernization, and the creative use of emerging technologies. Dedication to client success, deep expertise in leading capabilities in business and technology transformation has been the cornerstone for success to our people, clients, partners and the planet. The world's most innovative and valuable companies work with ThoughtFocus for their transformation journeys. With headquarters in the U.S., the company has more than 3,000+ employees in locations spread across five countries. For more information, please visit the company website

Job Summary:

The Data Engineer is responsible for implementing and managing the operational aspects of cloud-native and hybrid data platform solutions built with Azure Databricks. They ensure the efficient and effective functioning of the Azure Databricks environment, including monitoring and troubleshooting data pipelines, managing data storage and access, and optimizing performance. They work closely with data engineers, data scientists, and other stakeholders to understand data requirements, design solutions, and implement data integration and transformation processes.

Key Responsibilities:

  • Provide expertise and ownership of Azure Databricks development tasks within the scrum team.
  • Interact effectively with clients and leadership and can adapt communication for the appropriate audience.
  • Read and comprehend software requirements, assisting with development of agile user stores and tasks.
  • Assist with troubleshooting configuration and performance issues.
  • Assist with Azure Databricks deployments, testing, configuration, and installation.
  • Ensure security is a priority and understand the various areas where security vulnerabilities arise with database technologies.
  • Ensure database resiliency, and disaster recovery capabilities.

Required Skills & Qualifications:

  • 5+ years proven experience working with Azure Databricks Analytics database capabilities, specifically Azure Databricks and other relational database technologies supported in Azure.
  • 5+ years proven experience with Azure Data Lake Storage Gen 2, Azure Databricks, Azure Data Explorer, Azure Event Hubs, Spark Pools, Python, PySpark, SQL, Azure Landing Zone, Azure Networking Services, Microsoft EntraID.
  • 5+ years proven experience with Azure geo-redundancy, HA/failover technologies.
  • 5+ years proven experience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Data Lakehouse.
  • 5+ years proven experience with Infrastructure as Code (IaC) tools such as Terraform.
  • 5+ years proven experience with programming languages such as Python, PySpark and data constructs such as JSON or XML.

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