Associate Manager Data Engineering

OverviewWe are PepsiCoPepsiCo is one of the world s 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 PepsiCo s products are sold in more than 200 countries and territories around the world PepsiCo s 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 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 PepsiCos global business scale to enable business insights advanced analytics and new product development PepsiCos 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 ResponsibilitiesAs a member of the data engineering team you will be the key technical expert developing and overseeing PepsiCo s data product build operations and drive a strong vision for how data engineering can proactively create a positive impact on the business You ll 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 PepsiCo s 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 You ll 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 you ll 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 SLAs 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