Senior Data Engineer
Procter & Gamble2 months ago
Hyderābād, IndiaSenior
Responsibilities
- Lead the design and development of cloud-based data and analytics platforms.
- Develop and maintain data pipelines that extract data from multiple sources and load it into Azure and Databricks environments.
- Design and implement data cleansing, normalization, aggregation, modeling, and transformation processes.
- Build and maintain data warehouses, data lakes, schemas, and data models using Azure services and Databricks.
- Integrate on-premises and cloud-based data sources using Azure Data Factory and related tools.
- Implement data governance practices covering data security, privacy, compliance, and data integrity.
- Optimize data pipelines and queries for performance and scalability.
- Monitor pipelines, troubleshoot data-related issues, and resolve performance problems with other teams.
- Build Microsoft Power BI semantic models, BI reports, and dashboards.
- Document data engineering processes, data flows, and system configurations.
- Collaborate with product managers to support product delivery and business transformation.
Requirements
- Bachelor's or master's degree in computer science, data engineering, or a related field.
- 4+ years of work experience in data engineering and cloud platforms.
- Strong proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics.
- Experience with ETL tools and frameworks such as Apache Spark, Databricks Delta, or Azure Data Factory.
- Proficiency in PySpark, Python, SQL, or Scala for data manipulation, scripting, and automation.
- Knowledge of data modeling techniques and experience with data modeling tools.
- Familiarity with relational databases such as SQL Server.
- Understanding of data warehousing, dimensional modeling, and technologies such as Azure Synapse Analytics, Azure SQL Data Warehouse, or Azure Databricks DeltaLake.
- Knowledge of data governance, data security, and privacy regulations, with experience implementing governance practices.
- Experience using Microsoft Power BI to build semantic data models and BI reports or dashboards.
- Familiarity with cloud computing concepts, particularly Microsoft Azure.
- Strong analytical and problem-solving skills.
- Proficiency with DevOps and CI/CD tools such as Azure DevOps, Chef, Puppet, and GitHub.
Benefits
- Full-time position based at the Hyderabad Office APAC PSC GDOP in the Hyderabad IT Hub.
Tech Stack
Categories
Data Engineering
About Procter & Gamble
Procter & Gamble is a global consumer packaged goods company that makes and sells household, personal care, and hygiene products through retailers and e-commerce. Its portfolio includes brands such as Pampers, Tide, Gillette, Oral-B, and Pantene, serving consumers worldwide. Founded in 1837 and headquartered in Cincinnati, Ohio, P&G is a public company listed on the NYSE under the ticker PG.