Lead Data Engineer

Kenvue

Bangalore, Karnataka
Permanent
Full-time

15 days ago
Apply easily

About KenvueAbout KenvueKenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes.Not all products mentioned are sold globally.Job DescriptionWho 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, were the house of iconic brands - including NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS 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 futureand 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 warehouses
Forge 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 implementation
Managing data migrations/conversions and troubleshooting data processing issues
Focus on execution & delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data products
Lead data engineering teams, building and improving next generation data & analytics capabilities within DevSecOps framework
Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology
Drive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutions
Be an expert and a thought leader of how data and technology come together to empower the business
Conducting 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 characteristics
Using programming, scripting, and/or database languages to write the software code
Supporting software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements
Applying 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 pipelines
Developing and deploying data models
Monitoring and troubleshooting data systems
Working with product owners, data scientists and other stakeholders to understand the business needs and to build data solutions that meet those needs
Keeping up with the latest trends in data engineering
Providing training on data engineering concepts and techniques to other members of the team
Writing documentation for data pipelines and data models
Participating 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

Kenvue