K-001 - Lead Data Engineer

K-001 - Lead Data Engineer

OverviewWe Are PepsiCo Join PepsiCo and Dare for Better!
We are the perfect place for curious people, thinkers, and change agents.
From leadership to front lines, we're excited about the future and working together to make the world a better place.
Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.
Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade, and Sonrics, has been a part of Mexican homes for more than 116 years.
A career at PepsiCo means working in a culture where all people are welcome.
Here,



you can dare to be you.
No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.
ResponsibilitiesThe Opportunity As 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 cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around finance.
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.
Your Impact As Lead Data Engineer, your scope would consist of:
Drive and lead delivery of key projects within time and budgetDrive and lead solution design and build to ensure scalability, performance, and reuseRecommend and drive consensus around preferred data integration/engineering approachesAnticipate data bottlenecks (latency, quality, speed) and recommend appropriate remediation strategiesEnsure on-time and on-budget delivery which satisfies project requirements, while adhering to enterprise architecture standards.Facilitate work intake, prioritization, and release timing, balancing demand and available resources.




Ensure tactical initiatives are aligned with the strategic vision and business needs.Ensure sustainability of live pipelines in production environmentHands-on experience of implementing and designing data engineering workloads using Spark, Databricks, or similar modern data processing technologyWork with product owners, scrum masters, and technical committee to define the 3 months roadmap for each program increment (sprint-wise)Manage and scale data pipelines responsible for ingestion and data transformation.Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.Prototype new approaches and build solutions at scale.Research in state-of-the-art methodologies.Create documentation for learnings and knowledge transfer.Collaborate with internal clients (data science and product teams)



to drive solutioning and POC discussions.QualificationsWho Are We Looking For? Required Skill-set: Bachelor's degree in Computer Science, MIS, Business Management, or related field10+ years' experience in Information Technology4+ years of Azure, AWS, and Cloud technologies6+ years of experience writing complex SQL queries in DWH or Datalake environment5+ years of experience with a programming language (i.e., Python, Java, or Scala) preferably Python.Experience building frameworks for different processes such as data ingestion and DataOpsGood written and verbal communication skills along with collaboration and listening skillsWell-versed with Spark optimization techniquesExperience dealing with multiple vendors as necessary.Hands-on experience of writing complex SQL queriesBig Data (Hadoop, HBase, MapReduce, Hive, HDFS, etc.
),



Spark/PySparkSound skills and hands-on experience with Azure Data Lake, Azure Data Factory, Azure Data Bricks, Azure Synapse Analytics, Azure Storage ExplorerProficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development, etc.Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.Experience with data profiling and data quality toolsExperience 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.If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements.
What can you expect from us:



Opportunities to learn and develop every day through a wide range of programs.Internal digital platforms that promote self-learning.Development programs according to Leadership skills.Specialized training according to the role.Learning experiences with internal and external providers.We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.Financial wellness programs that will help you reach your goals in all stages of life.A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life,



among others.We are an equal opportunity employer and value diversity at our company.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We respect and value diversity as a workforce and innovation for the organization.

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El anuncio original lo puedes encontrar en Kit Empleo:
https://www.kitempleo.com.mx/empleo/141179154/k-001-lead-data-engineer-xico/?utm_source=html