Senior Data Engineer
Procter & Gamble (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of cloud-based data and analytics platform using Azure and Databricks.
- Develop, optimize, and maintain data pipelines, data transformation processes, and data models for large datasets.
- Collaborate with product managers to ensure high-quality product delivery and build BI reports for faster decision making.
Minimum Requirements
- Bachelor's or master's degree in computer science, data engineering, or related field.
- 4+ years of work experience in data engineering and cloud platforms.
- Strong proficiency in Microsoft Azure services (Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics).
- Proficiency in PySpark, Python, SQL, or Scala for scripting and automation.
Ideal Candidate Profile
- Experienced in designing and managing cloud-based data platforms focusing on Azure and Databricks ecosystems.
- Skilled in end-to-end data pipeline development including ingestion, transformation, modeling, and governance.
- Comfortable working within cross-functional teams with product managers to deliver business-impacting data solutions.