Procter & Gamble

2 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Senior Data Engineer needed to join the RUBIK data & analytics platform team in Hyderabad. Lead full data engineering lifecycle, design scalable cloud-native data solutions on Azure, and drive modern engineering practices (CI/CD, Agile, DevOps). Write and review code, mentor teammates, and collaborate with global architects, product teams, and vendors to deliver high-impact data capabilities for the business.

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead application engineering across the full lifecycle, including solution design, development, deployment, upgrades, and continuous improvement.
•Design end-to-end technical solutions that are scalable, secure, and aligned with platform and business standards.
•Act as a hands-on technical lead by writing, reviewing, and testing code, while building cloud-native Data & Analytics solutions on Azure.
•Ensure architecture and development follow modern engineering practices and standards, including CI/CD, Agile, DevOps, automation, and code quality.
•Collaborate with architects, product teams, business stakeholders, and vendors to translate requirements into effective technical solutions.

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
•10+ years of experience in data engineering, with strong hands-on expertise in building and delivering Big Data solutions using Spark and Databricks.
•Proven experience designing and developing end-to-end data solutions, including architecture, coding, testing, deployment, and production support.
•Strong knowledge of modern data platform concepts and architectures, including Data Warehousing, Lakehouse, Data Mesh, and Data Quality.
•Strong programming skills in Python (PySpark) and SQL.

Experience:10+ yearsData engineeringBig dataCloud

Education:Bachelor's

Skills:PythonPySparkSQLSparkDatabricksAirflowAzure Data FactoryCI/CDAgileDevOps

Tech Stack:PythonPySparkSQLSparkDatabricksAirflowAzure Data FactoryCI/CDAzureAzure DatabricksCI/CD pipelinesAgileDevOps

Company Brief

Procter & Gamble

Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.

Industry: Consumer Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1837

Website LinkedIn

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Procter & Gamble

2 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead application engineering across the full lifecycle, including solution design, development, deployment, upgrades, and continuous improvement.
•Design end-to-end technical solutions that are scalable, secure, and aligned with platform and business standards.
•Act as a hands-on technical lead by writing, reviewing, and testing code, while building cloud-native Data & Analytics solutions on Azure.
•Ensure architecture and development follow modern engineering practices and standards, including CI/CD, Agile, DevOps, automation, and code quality.
•Collaborate with architects, product teams, business stakeholders, and vendors to translate requirements into effective technical solutions.

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
•10+ years of experience in data engineering, with strong hands-on expertise in building and delivering Big Data solutions using Spark and Databricks.
•Proven experience designing and developing end-to-end data solutions, including architecture, coding, testing, deployment, and production support.
•Strong knowledge of modern data platform concepts and architectures, including Data Warehousing, Lakehouse, Data Mesh, and Data Quality.
•Strong programming skills in Python (PySpark) and SQL.

Experience:10+ yearsData engineeringBig dataCloud

Education:Bachelor's

Skills:PythonPySparkSQLSparkDatabricksAirflowAzure Data FactoryCI/CDAgileDevOps

Tech Stack:PythonPySparkSQLSparkDatabricksAirflowAzure Data FactoryCI/CDAzureAzure DatabricksCI/CD pipelinesAgileDevOps

Company Brief

Procter & Gamble

Industry: Consumer Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1837

Website LinkedIn