Senior Data Engineer

Hybrid

Responsibilities

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.
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 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? Minimum

Qualifications: BSc degree in IT or related discipline 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 Preferred
Qualifications: 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.

Other reasons why you will love it here! Your Future: Major medical coverage + policy exclusions and insurance non-medical limit.
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.

Learn more about our Employee Inclusion Groups on our website ( https://www.smith-nephew.com/ ).

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.
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
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benefits at S+N. Explore our website and learn more about our mission, our team, and the opportunities we offer.