Job Location
HYDERABAD OFFICE APAC PSC GDOPJob Description
CF-IT's TOP organization is seeking a Senior Data Engineer, located at the Hyderabad IT Hub. Specifically, you'll work within the Data & AI section that supports the Modern IT Service & Asset Management team.
Responsibilities:
Leading design and development of data and analytics cloud-based platform. Crafting integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables. Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets. You will be working with product managers to ensure superior product delivery to drive business value & transformation. Demonstrating standard coding practices to ensure delivery excellence and reusability.
Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Azure and Databricks environments.
Data Transformation: Design and implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency.
Data Modeling: Develop and maintain data models and schemas to support efficient data storage and retrieval in Azure and Databricks platforms.
Data Warehousing: Design and build data warehouses or data lakes using Azure services such as Azure Data Lake Storage, Databricks DeltaLake
Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Azure Data Factory or other relevant tools.
Data Governance: Implement data governance practices, including data security, privacy, and compliance, to ensure data integrity and regulatory compliance.
Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Azure and Databricks environments.
Monitoring and Troubleshooting: Monitor data pipelines, identify and resolve performance issues, and troubleshoot data-related problems in collaboration with other teams.
Data Visualization: Build BI reports to enable faster decision making.
Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation
Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing.
Job Qualifications
Experience: Bachelor's or master's degree in computer science, data engineering, or a related field, along with 4+ year work experience in data engineering and cloud platforms.
Azure and Databricks: Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics.
ETL Tools: Experience with ETL (Extract, Transform, Load) tools and frameworks, such as Apache Spark, Databricks Delta, or Azure Data Factory, for data integration and transformation.
Programming: Proficiency in programming languages such as PySpark, Python, SQL, or Scala for data manipulation, scripting, and automation.
Data Modeling: Knowledge of data modeling techniques and experience with data modeling tools.
Database Technologies: Familiarity with relational databases (e.g., SQL Server) for data storage and retrieval.
Data Warehousing: Understanding of data warehousing concepts, dimensional modeling, and experience with data warehousing technologies such as Azure Synapse Analytics or Azure SQL Data Warehouse or Azure Databricks DeltaLake
Data Governance: Knowledge of data governance principles, data security, privacy regulations, and experience implementing data governance practices.
Data Visualization: Experience of working with Microsoft Power BI to build semantic data model & BI reports/dashboards.
Cloud Computing: Familiarity with cloud computing concepts and experience working with cloud platforms, particularly Microsoft Azure.
Problem-Solving: Strong analytical and problem-solving skills to identify and resolve data-related issues.
Proficiency in DevOps Tools and CICD tools (e.g. Azure DevOps, Chef, Puppet, Github)
Job Schedule
Full timeJob Number
R000159103Job Segmentation
Experienced ProfessionalsSkills Required
- 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 with 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
- Knowledge of data modeling techniques and data modeling tools
- Familiarity with relational databases such as SQL Server
- Understanding of data warehousing, dimensional modeling, and related technologies
- Knowledge of data governance, data security, and privacy regulations
- Experience implementing data 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 in DevOps and CI/CD tools such as Azure DevOps, Chef, Puppet, or GitHub
Procter & Gamble Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Procter & Gamble and has not been reviewed or approved by Procter & Gamble.
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Fair & Transparent Compensation — Compensation is considered competitive and benchmarked against top industry peers, supported by formal pay‑equity audits and stated transparent principles. Feedback suggests pay is a strong draw, with raises described as attainable and benefits starting from day one of training.
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Healthcare Strength — Health coverage is broad and immediate, including medical, dental, vision, life and disability insurance, with mental‑health and telemedicine offerings expanded recently. This breadth and day‑one access contribute to a perception of reliable, comprehensive care.
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Parental & Family Support — Parental leave is inclusive under a global framework for all parents, with added recovery time for birth mothers. Adoption, fertility, childcare support and eldercare services further strengthen family support.
Procter & Gamble Insights
What We Do
Procter & Gamble Company is an American multi-national consumer goods corporation. P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®. The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within" organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.
