sr. engineer, kenvue data platforms

2 weeks ago

Bengaluru, Karnataka, India Kenvue Full time
SR. ENGINEER, KENVUE DATA PLATFORMS W

Description

Kenvue is currently recruiting for:
Senior Data Engineer, Kenvue Data Platforms

This position reports into Sr Manager / Director and is based at Bengaluru.
Who We AreAt Kenvue, 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 DoSenior Data Engineer, Kenvue Data Platforms is an exciting opportunity to join our growing Data & Analytics product line team We strive to positively impact the trajectory of personal health every day through powerful data and analytics solutions that drive innovation and unlock growth.

You will partner closely with multiple Business partners, Product Owners, Data Strategy, Data Platform, Data Science and Machine Learning (MLOps) teams to drive innovative data products for end users.

Additionally, you will help shape overall solution & data products, develop scalable solutions through best-in-class engineering practices.

Working with different stakeholders, you will understand business needs and design/build data acquisition, ingestion and curation processes to address critical reporting and insight requirements.


Major Duties & Responsibilities:


Design and develop data solutions in partnership with architecture and platform teams to build next generation product capabilities that drive business growth.

Contribute to proof of concepts and deliver highly secure, scalable, cost-effective applications that align with the team strategy and vision.

Focus on execution & delivery of highly reliable, high-quality data pipelines aimed at maximizing business value through data products.

Be an integral part of the 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.

Participate in 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.

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.

QualificationsUndergraduate degree in Technology, Computer Science, applied data sciences or other related fields; advanced degree in related fields preferred.
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.2+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry.

3+ years of progressive experience with developing full stack Data Frameworks:

ETL/ELT, data analysis, compute & storage, data pipelines, orchestration.

Minimum of 2 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.

Proficient in other ETL Platforms used for data ingestion / integrations (e.g., IICS, SAP BODS, SAP Datasphere).2+ years implementing data pipelines enabling data products through data mesh / fabric concepts.

Minimum of 3 years of planning and execution using Agile methodology (Scrum/Kanban) within DevSecOps model.

Ability to build data pipelines to address data challenges:
different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data.
Proven track record being part of 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.

Qualifications

QualificationsUndergraduate degree in Technology, Computer Science, applied data sciences or other related fields; advanced degree in related fields preferred.
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.2+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry.

3+ years of progressive experience with developing full stack Data Frameworks:

ETL/ELT, data analysis, compute & storage, data pipelines, orchestration.

Minimum of 2 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.

Proficient in other ETL Platforms used for data ingestion / integrations (e.g., IICS, SAP BODS, SAP Datasphere).2+ years implementing data pipelines enabling data products through data mesh / fabric concepts.

Minimum of 3 years of planning and execution using Agile methodology (Scrum/Kanban) within DevSecOps model.

Ability to build data pipelines to address data challenges:
different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data.
Proven track record being part of 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

Primary Location

Asia Pacific-India-Karnataka-BangaloreJob Function

Digital Product Development

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