Back
Popular Data Engineer title, unspecified experience requirement, and Hyderabad metro increase candidate competition.
Core data engineering technologies are easily transferable across industries despite sports domain context.
Requires specific Azure/Databricks/PySpark/SQL skills but states openness to learning, so moderate filter.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and optimize scalable data platform solutions in Azure using tools like ADF, Databricks, Function Apps, Python, and PySpark.
Develop and maintain efficient, reliable data pipelines and products to support data analytics for sports and entertainment clients.
Collaborate with product and marketing teams to deliver high-value data-driven insights and continuously improve data workflows.
Experience designing, building, and testing data solutions in a data lakehouse environment.
Proficiency in Python and PySpark for data processing and analytics.
Strong SQL skills for data querying and management.
Hands-on experience with Azure services, specifically ADF, Databricks, and Function Apps; familiarity with CI/CD pipelines using Azure DevOps or similar tools.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in building data solutions within cloud platforms, especially Azure, with an emphasis on data lakehouse architectures.
Practices clean, maintainable code adhering to established development frameworks and standards.
Operates well in fast-paced, collaborative environments focused on continuous learning and incremental value delivery.