Sr. Associate – Data and Analytics Engineer

Chennai - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

ROLE SUMMARY

Use Your Power for Purpose

At Pfizer our purposeBreakthroughs that change patients livesdrives every decision we make. Digital & Technology accelerates this mission by turning data into insights that power smarter science stronger operations and an exceptional colleague experience. Within this organization the Enabling Functions Creation Center (EFCC) supports HR Finance Global Business Services and Legal with the digital capabilities they need to operate effectively and unlock value.

As a handson Sr. Associate - Data & Analytics Engineer you will build innovative data and analytics solutions that strengthen our enterprise data foundation empower our enabling function partners and help unleash the power of our peopleultimately supporting the breakthroughs that matter most to patients.

ROLE RESPONSIBILITIES

As a hands-on engineer you will build scalable data pipelines to provide accurate and impactful business analytics and insights
Design and implementation of data architecture and infrastructure.
Implement data management strategies and policies.
Ensure data quality and integrity across all data platforms.
Collaborate with cross-functional teams to align data initiatives with business goals.
Develop and maintain data governance frameworks.
Integrate / utilize new data technologies and tools.
Ensure compliance with data privacy regulations and standards.
Optimize of data processing workflows and pipelines.
Develop of analytics solutions to support business decision-making.
Work with and maintain relationships with external data vendors and partners.
Create and maintain data documentation and metadata.
Develop and monitor key performance indicators for data initiatives.
Ensure the scalability and performance of data systems.

BASIC QUALIFICATIONS

Candidates should possess a BA/BS or MBA/MS/M. Tech with at least 3-5 years of experience a PhD with any years of experience Data Architecture Design: Designing and structuring modern databases and modern data systems: Advanced
Data Warehousing: Building and managing data warehouses (Preferably Snowflake): Expert
SQL: Advanced querying and database management: Expert
Data pipelines / ETL Processes: Designing and managing modern ETL (Extract Transform Load) processes and data engineering pipelines: Expert
Data Integration: Combining and transforming data from different sources: Expert
Cloud Platforms (e.g. AWS Azure Google Cloud): Managing data infrastructure on cloud platforms: Advanced
Big Data Technologies (e.g. SnowFlake Data Bricks Spark): Handling and processing large datasets: Expert
Data Modeling: Creating data models to support analytics: Advanced
Visual Analytics and Business Intelligence Tools: Using BI tools to derive insights from data: Advanced
Data Governance: Implementing policies and procedures for data management: Intermediate
Data Visualization Tools (e.g. Tableau Power BI): Creating visual representations of data and data story telling: Advanced
Hands on experience with vibe coding and Generative AI based data pipeline and analytics solutions development to increase efficiency reduce overall delivery cost and reduce time to market: Intermediate
Programming Languages (e.g. Python R): Writing code for data manipulation and analysis: Intermediate
Data Security: Implementing security measures to protect data: Intermediate
Data Quality Management: Ensuring accuracy and consistency of data: Advanced
Statistical Analysis: Applying statistical methods to analyze data: Intermediate
Strategic Thinking: Planning and executing long-term data strategies: Intermediate
Communication: Clearly conveying complex data concepts to stakeholders: Advanced
Problem Solving: Identifying and resolving data-related issues: Advanced
Collaboration: Working effectively with cross-functional teams: Advanced

PREFERRED QUALIFICATIONS

People Analytics experience using SaaS tools such asVisier One Model Perceptyx Workday Prism Analytics Workday People Analytics SAP Success Factors Workforce Analytics is a big plus. Familiarity with cloud/SaaS-based Human Capital Management (HCM) systems such as Workday is a big plus.
Experience with Global HR data integration and prior experience with Mergers Acquisitions and Divestitures is a plus.
Familiarity with SoX EU Global Data Privacy Regulations (GDPR) and other related international regulations is nice to have. Prior experience with data architecture designs and data engineering development related to the GDPR and data privacy guiding principles such as data minimization right to be forgotten etc is nice to have.
Experience with Software engineering best practices including but not limited to version control (Git/GitHub TFS Subversion etc.) CI/CD (Jenkins Maven Gradle etc.) automated unit testing Dev Ops is highly beneficial but not required.
Experience with sourcing and modeling data from application APIs and publishing data and analytics services via APIs / Data Services is highly beneficial but not required Experience deploying through an agile methodology and working in a SCRUM or SAFe team is highly beneficial but not required.
6 or more years of experience with one or more general-purpose data processing programming languages including but not limited to: SQL Scala Python Java etc
Architected end-to-end data pipelines with a major cloud stack is a plus Experience in Cloud computing machine learning text analysis NLP and developing and deploying data and analytics services such as recommendation engines experience is a plus
Domain experience in the Human Resources field

Emerging skills:

Machine Learning: Applying machine learning techniques for data analysis: Intermediate
Adaptability: Adjusting to new technologies and methodologies: Intermediate
Critical Thinking: Analyzing data critically to derive insights: Advanced
Time Management: Prioritizing tasks to meet deadlines: Advanced
Decision Making: Making informed decisions based on data insights: Advanced

Work Location Assignment:Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Information & Business Tech

Required Experience:

Senior IC

ROLE SUMMARYUse Your Power for PurposeAt Pfizer our purposeBreakthroughs that change patients livesdrives every decision we make. Digital & Technology accelerates this mission by turning data into insights that power smarter science stronger operations and an exceptional colleague experience. Within...

ROLE SUMMARY

Use Your Power for Purpose

ROLE RESPONSIBILITIES

As a hands-on engineer you will build scalable data pipelines to provide accurate and impactful business analytics and insights
Design and implementation of data architecture and infrastructure.
Implement data management strategies and policies.
Ensure data quality and integrity across all data platforms.
Collaborate with cross-functional teams to align data initiatives with business goals.
Develop and maintain data governance frameworks.
Integrate / utilize new data technologies and tools.
Ensure compliance with data privacy regulations and standards.
Optimize of data processing workflows and pipelines.
Develop of analytics solutions to support business decision-making.
Work with and maintain relationships with external data vendors and partners.
Create and maintain data documentation and metadata.
Develop and monitor key performance indicators for data initiatives.
Ensure the scalability and performance of data systems.

BASIC QUALIFICATIONS

Candidates should possess a BA/BS or MBA/MS/M. Tech with at least 3-5 years of experience a PhD with any years of experience Data Architecture Design: Designing and structuring modern databases and modern data systems: Advanced
Data Warehousing: Building and managing data warehouses (Preferably Snowflake): Expert
SQL: Advanced querying and database management: Expert
Data pipelines / ETL Processes: Designing and managing modern ETL (Extract Transform Load) processes and data engineering pipelines: Expert
Data Integration: Combining and transforming data from different sources: Expert
Cloud Platforms (e.g. AWS Azure Google Cloud): Managing data infrastructure on cloud platforms: Advanced
Big Data Technologies (e.g. SnowFlake Data Bricks Spark): Handling and processing large datasets: Expert
Data Modeling: Creating data models to support analytics: Advanced
Visual Analytics and Business Intelligence Tools: Using BI tools to derive insights from data: Advanced
Data Governance: Implementing policies and procedures for data management: Intermediate
Data Visualization Tools (e.g. Tableau Power BI): Creating visual representations of data and data story telling: Advanced
Hands on experience with vibe coding and Generative AI based data pipeline and analytics solutions development to increase efficiency reduce overall delivery cost and reduce time to market: Intermediate
Programming Languages (e.g. Python R): Writing code for data manipulation and analysis: Intermediate
Data Security: Implementing security measures to protect data: Intermediate
Data Quality Management: Ensuring accuracy and consistency of data: Advanced
Statistical Analysis: Applying statistical methods to analyze data: Intermediate
Strategic Thinking: Planning and executing long-term data strategies: Intermediate
Communication: Clearly conveying complex data concepts to stakeholders: Advanced
Problem Solving: Identifying and resolving data-related issues: Advanced
Collaboration: Working effectively with cross-functional teams: Advanced

PREFERRED QUALIFICATIONS

People Analytics experience using SaaS tools such asVisier One Model Perceptyx Workday Prism Analytics Workday People Analytics SAP Success Factors Workforce Analytics is a big plus. Familiarity with cloud/SaaS-based Human Capital Management (HCM) systems such as Workday is a big plus.
Experience with Global HR data integration and prior experience with Mergers Acquisitions and Divestitures is a plus.
Familiarity with SoX EU Global Data Privacy Regulations (GDPR) and other related international regulations is nice to have. Prior experience with data architecture designs and data engineering development related to the GDPR and data privacy guiding principles such as data minimization right to be forgotten etc is nice to have.
Experience with Software engineering best practices including but not limited to version control (Git/GitHub TFS Subversion etc.) CI/CD (Jenkins Maven Gradle etc.) automated unit testing Dev Ops is highly beneficial but not required.
Experience with sourcing and modeling data from application APIs and publishing data and analytics services via APIs / Data Services is highly beneficial but not required Experience deploying through an agile methodology and working in a SCRUM or SAFe team is highly beneficial but not required.
6 or more years of experience with one or more general-purpose data processing programming languages including but not limited to: SQL Scala Python Java etc
Architected end-to-end data pipelines with a major cloud stack is a plus Experience in Cloud computing machine learning text analysis NLP and developing and deploying data and analytics services such as recommendation engines experience is a plus
Domain experience in the Human Resources field

Emerging skills:

Machine Learning: Applying machine learning techniques for data analysis: Intermediate
Adaptability: Adjusting to new technologies and methodologies: Intermediate
Critical Thinking: Analyzing data critically to derive insights: Advanced
Time Management: Prioritizing tasks to meet deadlines: Advanced
Decision Making: Making informed decisions based on data insights: Advanced

Work Location Assignment:Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Information & Business Tech

Required Experience:

Senior IC

Key Skills

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Pfizer

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