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workable

Data Engineer (Audience Intelligence)

Two Circles
Hyderabad, IND
Full-time
Mid
Onsite
Discovered 1 weeks ago
DatabricksFunction AppsPythonPySparkSQL
Free

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Key skills for this role

DatabricksFunction AppsPython
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Responsibilties

  • Your role will be varied and evolve as quickly as you can learn and develop. Your initial duties will involve:
  • Design, build, and test scalable data platform solutions in Azure, leveraging tools like ADF, Databricks, and Function Apps, using Python.
  • Develop high-quality data products, ensuring efficiency, reliability, and performance across our data pipelines.
  • Collaborate closely with product and marketing teams to deliver data-driven insights and solutions that provide high business value.
  • Write clean, maintainable code following best practices and development frameworks, ensuring robust data engineering standards.
  • Continuously improve and optimize data workflows, monitoring performance and implementing enhancements to drive innovation.

Requirements

  • Experience in designing, building, and testing solutions within a data lakehouse environment.
  • Proficiency in Python and PySpark for data processing and analytics.
  • Strong SQL skills for querying and managing data.
  • Hands-on experience with Azure, preferably ADF, Databricks, and Function Apps.
  • Familiarity with CI/CD pipelines using Azure DevOps or similar tools.
  • Ability to work within established development frameworks and adhere to coding standards.
  • While the above skills are important to this role, we believe that attitude and ability to learn new skills are the most important factors for success in this team. If you are missing some of the experience listed above but this sounds like you, we’d love to hear from you.
  • Strong teamwork skills, with a collaborative mindset and desire to learn from others.
  • A proactive attitude with a passion for continuous learning and growth.
  • High attention to detail and commitment to delivering quality work.
  • Comfortable working in a fast-paced environment, with the ability to estimate tasks and deliver incremental value effectively.

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