Senior Data Engineer

The Senior Data Engineer at Zimmer Biomet in Bangalore will be responsible for designing, developing, and maintaining scalable data pipelines and models using Snowflake and cloud technologies. The role requires at least 7 years of experience in SQL-based pipeline development, strong Python skills, and hands-on experience with orchestration tools such as Airflow or Dagster. Responsibilities include ETL/ELT development, data ingestion, CI/CD workflow implementation, and supporting data governance. The position operates in a hybrid work model (3 days in office) with a 11:00 AM–8:00 PM shift. Candidates should have experience with cloud services (AWS, Azure, GCP), version control, and exposure to Agile environments. Experience with Fivetran, Airbyte, Kafka, and AI/ML workflows is advantageous. The Senior Data Engineer at Zimmer Biomet plays a pivotal role in designing, developing, and maintaining scalable data pipelines and models within Snowflake and cloud environments. This position is responsible for delivering secure, reliable, and high-quality data solutions that support analytics, reporting, and operational workflows. The role requires close collaboration with architects, analysts, and business teams to translate requirements into technical solutions. Candidates will work in a hybrid model based in Bangalore, contributing to Agile teams and ensuring timely, high-quality deliverables. Zimmer Biomet offers a supportive environment with development opportunities, employee resource groups, flexible working, and competitive rewards, fostering a culture of inclusion and recognition.

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.

As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.

What You Can Expect

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and models within Snowflake and cloud environments. This role combines strong SQL and Python development with hands-on data engineering in Agile teams. The engineer will partner with architects, analysts, and business teams to deliver secure, reliable, high-quality data solutions that power analytics, reporting, and operational workflows.

Work Location: Bangalore
Work Mode: Hybrid (3 Days in office)
Shift Timing - 11:00 AM - 8:00 PM

How You'll Create Impact

• Design, build, and optimize SQL pipelines, transformations, and data models within Snowflake.
• Develop Python-based data processing, automation, and integration workflows.
• Ingest and process structured, semi-structured, and unstructured data from databases, APIs, files, SaaS applications, and cloud storage.
• Implement ETL/ELT processes using SQL, Python, dbt, Snowflake features, or orchestration tools such as Airflow/Dagster.
• Contribute to Agile ceremonies and deliverables, ensuring timely and high-quality sprint outcomes.
• Implement CI/CD workflows and maintain version-controlled repositories (GitHub or equivalent).
• Support data governance, data quality, and secure data handling practices.
• Troubleshoot pipeline issues and proactively drive performance improvements.
• Maintain documentation, monitoring, alerting, and operational playbooks for pipelines.
• Collaborate with cross-functional teams (Data Engineering, Architecture, Data Science, Business) to translate requirements into technical solutions

What Makes You Stand Out

• Ability to work effectively within cross-functional and Agile teams.
• Strong analytical, problem-solving, and critical-thinking skills.
• Experience working with US- and Europe-based clients, stakeholders, or team members is desired.
• Clear written and verbal communication skills, including the ability to translate technical information for non-technical partners.
• Strong organizational skills with attention to detail and documentation.
• Ability to influence and collaborate across teams and geographies.
• Demonstrated ownership, adaptability, and willingness to embrace new technologies.
• Ability to understand and work across multiple technology stacks.

Your Background

• 7 + years of experience designing and developing SQL-based pipelines and data models.
• Hands-on experience with Python for ETL/ELT development and automation.
• Experience with Snowflake or other cloud data warehouses.
• Experience with orchestration platforms such as Airflow, Dagster, or Prefect.
• Experience with ingestion tools (Fivetran, Airbyte) is a plus.
• Familiarity with APIs, JSON/CSV/XML/Parquet data formats, and cloud storage environments.
• Understanding of CDC mechanisms, data governance, and security best practices.
• Exposure to real-time or streaming ingestion (Kafka, Event Hub) is beneficial.
• Experience working in Agile environments and delivering iterative outcomes.
• Ability to participate in and lead technical discussions.
• Interest or exposure to AI/ML workflows is a plus.

Must have skills (Mandatory) - Data Engineering, Data Modeling, ETL/ELT, SQL, Snowflake, AWS OR Azure
Good to have skills (Preferred) - Python, Data governance, AI Cortex Agent, Airflow OR Dagster

Technologies Required for Role (REQUIRED FIELD)

• SQL (strong expertise), Snowflake is a plus, and data modeling
• Python for data pipelines and automation
• dbt / SQL-based transformation frameworks (preferred)
• Airflow, Dagster, or similar orchestration tools
• CI/CD tools (GitHub, GitLab, Azure DevOps)
• ETL/ELT tools such as Fivetran, Airbyte, Apache Nifi
• Cloud services (AWS, Azure, GCP) and cloud storage
• Git-based version control.

Travel Expectations

Up to 5%

EOE/M/F/Vet/Disability

• At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Responsibilities
• Design, build, and optimise SQL pipelines, transformations, and data models within Snowflake.
• Develop Python-based data processing, automation, and integration workflows.
• Ingest and process structured, semi-structured, and unstructured data from various sources.
• Implement ETL/ELT processes using SQL, Python, dbt, Snowflake features, or orchestration tools such as Airflow or Dagster.
• Contribute to Agile ceremonies and deliverables, ensuring timely and high-quality sprint outcomes.
• Implement CI/CD workflows and maintain version-controlled repositories such as GitHub or equivalent.
• Support data governance, data quality, and secure data handling practices.
• Troubleshoot pipeline issues and proactively drive performance improvements.
• Maintain documentation, monitoring, alerting, and operational playbooks for pipelines.
• Collaborate cross-functionally to translate requirements into technical solutions. Skills
• Demonstrated expertise in SQL, Snowflake, and data modelling.
• Hands-on experience with Python for ETL/ELT development and automation.
• Proficiency with orchestration platforms such as Airflow, Dagster, or Prefect.
• Experience with ingestion tools including Fivetran and Airbyte.
• Familiarity with APIs, JSON/CSV/XML/Parquet data formats, and cloud storage environments.
• Understanding of CDC mechanisms, data governance, and security best practices.
• Exposure to real-time or streaming ingestion using Kafka or Event Hub is beneficial.
• Experience working in Agile environments and delivering iterative outcomes.
• Ability to participate in and lead technical discussions.
• Interest or exposure to AI/ML workflows is a plus.