Senior Data Engineer (TOP Organization)
Procter & Gamble (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 18–35 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of data and analytics cloud-based platforms using Azure and Databricks.
- Develop and maintain data pipelines, perform data transformations, and build data models and warehouses to support business deliverables and decision-making.
- Collaborate with product managers to ensure high-quality product delivery and implement data governance and performance optimization practices.
Minimum Requirements
- Bachelor's or master's degree in computer science, data engineering, or related field.
- Minimum 4 years of work experience in data engineering and cloud platforms.
- Strong proficiency with Azure services (Azure Data Factory, Databricks, Azure SQL Database, Data Lake Storage, Synapse Analytics) and programming languages like PySpark, Python, SQL, or Scala.
- Experience with ETL tools (Apache Spark, Databricks Delta), data modeling, data warehousing concepts, data governance, and Microsoft Power BI for reporting.
Ideal Candidate Profile
- Experienced in leading end-to-end data engineering projects within cloud environments, especially Azure and Databricks.
- Skilled in integrating complex data sources and optimizing large-scale data pipelines for business impact.
- Proficient in collaboration with cross-functional teams such as product managers to drive data product delivery and transformation.