6+ years of experience in data engineering or software engineering, with at least 4 years in cloud-based data platforms
Proven experience with enterprise data platforms (preferably Snowflake on AWS)
Strong experience with ELT tools such as Matillion, Fivetran, or Informatica IICS
Advanced SQL skills and deep understanding of data warehousing concepts
Experience implementing CI/CD pipelines, automated testing, and deployment processes
Strong understanding of data governance, metadata management, and data quality practices
Cloud certifications (AWS, Snowflake, or equivalent)
Strong experience with Python for data engineering and automation
Experience with DBT (Data Build Tool)
Exposure to data product thinking and domain-driven data design
Experience with BI tools such as Power BI
Familiarity with data platforms supporting AI/ML initiatives
You Unlimited.
We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve.
Inclusion + Belonging: - Committed to Welcoming, Celebrating, and Thriving. Learn more about our Employee Inclusion Groups on our website ( https://www.smith-nephew.com/ ).
Other reasons why you will love it here!
Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance.
Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave.
Your Wellbeing: Parents'/Parents-in-Law's Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave.
Flexibility : Hybrid Work Model (For most professional roles)
Training: Hands-On, Team-Customized, Mentorship
Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances.
Stay connected by joining our Talent Community .
We're more than just a company - we're a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day.
Check us out on Glassdoor for a glimpse behind the scenes and a sneak peek into You. Unlimited. , life, culture, and benefits at S+N.
Explore our website and learn more about our mission, our team, and the opportunities we offer.
Benefits
Paid time offFlexible scheduleParental leave
Additional Information
Role: Senior Data Engineer
Location: Kharadi, Pune
Life Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living.
Role Profile Overview - Senior Data Engineer (ELT): As a Senior Data Engineer, you play a critical role in the Unified Data Platform (UDP) product lifecycle - from ideation through delivery and continuous optimization - working across multiple delivery pods to ensure scalable, reusable, and governed data solutions. Collaborates closely with cloud engineers, product owners, business engagement leads, business analysts, architects, and BI teams to deliver high-quality, cloud-native data products aligned to enterprise data models and standards.
What will you be doing?
Lead and coordinate multiple data engineering delivery teams to ensure alignment with Unified Data Platform standards and delivery protocols
Design and develop scalable ELT pipelines to ingest, transform, and publish data into data lakes, data warehouses, and curated data products
Ensure solutions align with enterprise data models, leveraging existing dimensions and fact tables to promote reuse and eliminate redundancy
Collaborate with business engagement teams and business analysts to refine requirements and translate them into scalable data solutions
Partner with architecture teams to ensure new enhancements and data products align with the existing platform and modeling standards
Enforce adherence to Data Services processes, including coding standards, CI/CD pipelines, testing strategies, and deployment protocols
Implement data orchestration, monitoring, and automated quality control processes
Define and manage metadata, lineage, and data governance requirements
Optimize performance of data pipelines and Snowflake workloads
Support production environments and continuous improvement
Drive adoption of best practices in data engineering
Coach and mentor engineers across teams
What will you need to be successful?