Lead Data Engineer [T500-11342]

Who We Are ? At Kenvue GCC Bengaluru, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we're the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage - and have brilliant opportunities waiting for you! Join us in shaping our future-and yours. What You Will Do ?The Lead Data Engineer is responsible for Software Development Engineering and performing work in the following areas:Data Engineering & Data Modelling: Creating data architectures and logical/physical data models for databases and data warehousesForge trusted partnerships and be an integral part of Data Engineering, Data Architecture & Platforms and Data Science teams to adopt, scale and build data products Data Warehouse Development & Administration: Designing, developing, implementing, and maintaining a data warehouse to integrate data from various sources / systems within an organization Developing strategies for data acquisition, archive recovery, and database implementationManaging data migrations/conversions and troubleshooting data processing issuesFocus on execution & delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data productsLead data engineering teams, building and improving next generation data & analytics capabilities within DevSecOps frameworkWork closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technologyDrive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutionsBe an expert and a thought leader of how data and technology come together to empower the businessConducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristicsUsing programming, scripting, and/or database languages to write the software codeSupporting software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancementsApplying knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, testing, and operations Key Responsibilities:Main accountabilities includes:Designing, building, and maintaining data products and pipelinesDeveloping and deploying data modelsMonitoring and troubleshooting data systemsWorking with product owners, data scientists and other stakeholders to understand the business needs and to build data solutions that meet those needsKeeping up with the latest trends in data engineeringProviding training on data engineering concepts and techniques to other members of the teamWriting documentation for data pipelines and data modelsParticipating in data governance initiatives. What We Are Looking For ?Required Qualifications: Typically requires a minimum of 10 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 7 years and a Master degree in Computer or Software Engineering; Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture. Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists. 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry 8-10 years of progressive experience with developing full stack Data Frameworks: ETL/ELT, data analysis, compute & storage, data pipelines, orchestration Minimum of 3 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake, Redshift) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python. 3+ years implementing data pipelines enabling data products through data mesh / fabric concepts Minimum of 3 years leading data engineering teams with planning and execution using Agile methodology (Scrum/Kanban) within DevSecOps model Ability define data pipelines to address data challenges: different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data. Proven track record leading multiple high-profile projects with demanding deadlines, changing requirements, and working with defined resources. Ability to estimate required effort and prioritize work items appropriately. Thrives on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer. Desired Qualifications: Convervant with Data & Analytics product management, Azure, SQL, Data Catalog Experience with unstructured data processing and real-time data pipelines Preferably from Retail or CPG industry PRB