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Engaged Employer

PepsiCo

Compare

4.1

based on 2.4k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

Top Rated FMCG Company - 2024

3 PepsiCo Data Engineering Manager Jobs

Associate Manager Data Engineering

PEPSI FOODS PRIV LIMITED

4.1

based on 2.4k Reviews

1-5 years

Gurgaon / Gurugram

1 vacancy

Associate Manager Data Engineering

PepsiCo

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Logistics SQL Auditing Supply Chain Business Intelligence Data Management

+ 4 more

Job Description

Overview

We are PepsiCo

PepsiCo is one of the worlds leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCos products are sold in more than 200 countries and territories around the world. PepsiCos strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.

We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Purpose . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com .

PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo s global business scale to enable business insights, advanced analytics and new product development. PepsiCo s Enterprise Data Operations (EDO) team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

What PepsiCo Enterprise Data Operations (EDO) does:

Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company
Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset
Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders
Increase awareness about available data and democratize access to it across the company

Responsibilities

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCos data product build operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. Youll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCos flagship data products around topics like revenue management, supply chain, manufacturing, and logistics . You will work closely with process owners, product owners and business users. Youll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Important Disclaimer :

The candidate is required to work for 4 weekends in a quarter (you may be required to work only on Saturday or Sunday or Sat Sun) and basis that youll get compensatory off.
Please note that this role will be based ONLY in India. The role does not involve any movement to other PepsiCo offices outside India in future

Responsibilities

Active contributor to code development in projects and services.
Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
Responsible for implementing best practices around systems integration, security, performance and data management.
Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
Develop and optimize procedures to productionalize data science models.
Define and manage SLA s for data products and processes running in production.
Support large-scale experimentation done by data scientists.
Prototype new approaches and build solutions at scale.
Research in state-of-the-art methodologies.
Create documentation for learnings and knowledge transfer.
Create and audit reusable packages or libraries.

Qualifications

11+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.
4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
3+ years in cloud data engineering experience in Azure .
Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
Fluent with Azure cloud services. Azure Certification is a plus.
Experience with integration of multi cloud services with on-premises technologies.
Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
Experience with version control systems like Github and deployment CI tools.
Experience with Statistical/ML techniques is a plus.
Experience with building solutions in the retail or in the supply chain space is a plus
Understanding of metadata management, data lineage, and data glossaries is a plus.
Working knowledge of agile development, including DevOps and DataOps concepts.
Familiarity with business intelligence tools (such as PowerBI).

Education

B Tech/BE in Computer Science, Math, Physics, or other technical fields.

Skills, Abilities, Knowledge

Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
Proven track record of leading, mentoring data teams.
Strong change manager. Comfortable with change, especially that which arises through company growth.
Ability to understand and translate business requirements into data and technical requirements.
High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.
Foster a team culture of accountability, communication, and self-management.
Proactively drives impact and engagement while bringing others along.
Consistently attain/exceed individual and team goals
Ability to lead others without direct authority in a matrixed environment.

Competencies

Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.
Understands both the engineering and business side of the Data Products released.
Places the user in the center of decision making.
Teams up and collaborates for speed, agility, and innovation.
Experience with and embraces agile methodologies.
Strong negotiation and decision-making skill.
Experience managing and working with globally distributed teams.

At PepsiCo, we recognize that our success is driven by our talented and dedicated employees. Our Employee Value Proposition is built on a foundation of competitive compensation, comprehensive benefits, and a commitment to your professional growth and personal well-being. We offer a dynamic and inclusive workplace where innovation thrives and your contributions are celebrated. Join us to make an impact, grow your career, and be part of a company that values sustainability, community engagement, and ethical practices.

","qualifications":"

11+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.
4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
3+ years in cloud data engineering experience in Azure .
Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
Fluent with Azure cloud services. Azure Certification is a plus.
Experience with integration of multi cloud services with on-premises technologies.
Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
Experience with version control systems like Github and deployment CI tools.
Experience with Statistical/ML techniques is a plus.
Experience with building solutions in the retail or in the supply chain space is a plus
Understanding of metadata management, data lineage, and data glossaries is a plus.
Working knowledge of agile development, including DevOps and DataOps concepts.
Familiarity with business intelligence tools (such as PowerBI).

Education

B Tech/BE in Computer Science, Math, Physics, or other technical fields.

Skills, Abilities, Knowledge

Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
Proven track record of leading, mentoring data teams.
Strong change manager. Comfortable with change, especially that which arises through company growth.
Ability to understand and translate business requirements into data and technical requirements.
High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.
Foster a team culture of accountability, communication, and self-management.
Proactively drives impact and engagement while bringing others along.
Consistently attain/exceed individual and team goals
Ability to lead others without direct authority in a matrixed environment.

Competencies

Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.
Understands both the engineering and business side of the Data Products released.
Places the user in the center of decision making.
Teams up and collaborates for speed, agility, and innovation.
Experience with and embraces agile methodologies.
Strong negotiation and decision-making skill.
Experience managing and working with globally distributed teams.

Employment Type: Full Time, Permanent

Functional Areas: Software/Testing/Networking

Read full job description

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High Confidence

What Data Engineering Manager at PepsiCo are saying

1.0

Rating based on 1 Data Engineering Manager review

Anonymous · Software Development in Gurgaon / Gurugram, Haryana

Likes

work life balance is good. office infrastructure is good but limited.

Dislikes

complex organization. there is no job security. people laid off who recently joined. restructuring keeps happening quite frequently. office politics is there, manager can really find out reasons out of air to not promote you.

Read 1 review