Senior Data Engineer
Procter & Gamble (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 28–45 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end application engineering lifecycle for scalable, secure cloud-native Data & Analytics solutions on Azure.
- Hands-on technical lead responsible for coding, reviewing, testing, and continuous improvement of data platforms using modern engineering practices like CI/CD, Agile, and DevOps.
- Collaborate with architects, product teams, business stakeholders, and vendors globally to translate requirements into effective technical solutions and resolve complex technical issues.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical field (or equivalent practical experience).
- 10+ years of experience in data engineering with hands-on expertise in Spark and Databricks for Big Data solutions.
- Proficient in Python (PySpark), SQL, Airflow, Azure Data Factory, and experience with CI/CD pipelines and Agile/DevOps environments.
- Work Experience Required: 10+ years data engineering experience. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced technical leader capable of independently designing end-to-end data platform solutions while maintaining hands-on development.
- Able to work collaboratively across global cross-functional teams, aligning technical solutions with business needs.
- Detail-oriented with strong problem-solving skills and a commitment to engineering excellence, continuous improvement, and high-quality software delivery.