Stryker Hiring: Senior Engineer – EDT Data & Analytics 2026:-
Stryker is hiring an experienced Senior Engineer – EDT Data & Analytics (Data Engineering) for its Gurugram, India location. This opportunity is suited to data engineering professionals with strong SQL and programming skills, hands-on cloud data platform experience, and expertise in building scalable data pipelines.
| Company : | Stryker |
| Job Role : | Senior Engineer, EDT Data & Analytics – Data Engineering |
| Job Type : | Full-Time |
| Experience : | 3–5 Years |
| Salary : | As per company Standards |
| Last Date to Apply : | ASAP |
Role Overview:-
As a Senior Engineer, EDT Data & Analytics – Data Engineering, you will design, build, and maintain scalable data pipelines and integration solutions that support analytics, reporting, and business decision-making.
You will work closely with Data Architects, Analysts, and Platform teams to ingest, transform, and deliver reliable, high-quality data across the Data and Analytics ecosystem.
The role involves ETL/ELT pipeline development, SQL and Python programming, cloud data platforms, workflow orchestration, data quality management, and implementing engineering standards and best practices.
Educational Requirements:-
- Bachelor’s Degree in Computer Science.
- Bachelor’s Degree in Information Systems.
- Bachelor’s Degree in Engineering.
- Any related technical discipline.
Experience Required: 3–5 years of experience in data engineering, ETL development, or database development.
Key Skills:-
Technical Skills
- SQL Programming
- Python / Scala / Java
- ETL / ELT Development
- Data Pipeline Development
- Data Modeling
- Data Warehousing
- Snowflake
- Databricks
- AWS Redshift
- Azure Synapse
- Apache Airflow
- Azure Data Factory
- dbt
- Apache Kafka
- AWS Kinesis
- Azure Event Hubs
- Git and CI/CD
- Data Validation and Monitoring
- Dimensional Modeling
- Star Schema and Data Vault
- Data Lake and Lakehouse Concepts
- Unity Catalog Concepts
- AI Tools for Coding and Bug Fixing
- Batch and Streaming Data Processing
Functional Skills
- Data Engineering
- Data Integration
- Data Quality Management
- Data Governance
- Data Security and Compliance
- Cloud Data Platform Management
- Data Transformation
- Workflow Orchestration
- Database Development
- Performance Optimization
- Technical Troubleshooting
- Analytics and Reporting Support
- Data Pipeline Monitoring
- Business Requirements Analysis
Soft Skills
- Strong analytical and problem-solving abilities
- Effective verbal and written communication
- Cross-functional collaboration
- Adaptability to new technologies
- Independent decision-making
- Attention to detail
- Ability to manage complex technical requirements
- Ownership and accountability
- Teamwork and collaboration
- Ability to deliver results independently
Roles & Responsibilities:-
Data Pipeline Development & Engineering
- Design and optimize scalable ETL/ELT pipelines, data models, and data marts.
- Develop reliable data pipelines to support analytics and reporting requirements.
- Build efficient SQL and Python/Scala-based data transformation processes.
- Develop and maintain data integration solutions across different platforms.
- Support batch and streaming data processing requirements.
Workflow Automation & Orchestration
- Develop automated data workflows using orchestration tools.
- Work with Apache Airflow, Azure Data Factory, or dbt.
- Implement efficient workflow scheduling and execution processes.
- Automate data engineering activities to improve operational efficiency.
- Optimize data workflows and transformation processes.
Data Quality, Governance & Security
- Ensure data quality through validation and monitoring frameworks.
- Implement error-handling mechanisms to maintain reliable data pipelines.
- Follow data governance, security, and compliance standards.
- Identify and resolve data inconsistencies and quality issues.
- Maintain accurate, consistent, and high-quality datasets.
Cloud Data Platforms & Integration
- Support cloud data platforms and modern data warehouse/lakehouse technologies.
- Work with Snowflake, Databricks, AWS Redshift, or Azure Synapse.
- Build and maintain data pipelines in on-premises or cloud environments.
- Apply knowledge of Data Lake, Lakehouse, and Unity Catalog concepts.
- Collaborate with platform teams to deliver scalable data solutions.
Technical Troubleshooting & Optimization
- Troubleshoot complex data engineering and pipeline-related issues.
- Optimize SQL queries and data transformation processes.
- Use AI-powered tools to improve coding efficiency and bug fixing.
- Follow CI/CD practices and version control using Git.
- Apply data modeling techniques such as dimensional modeling, star schema, and data vault.
- Ensure reliable and scalable data engineering solutions.
Stakeholder & Cross-Functional Collaboration
- Work closely with Data Architects, Analysts, and Platform teams.
- Analyze complex data requirements and convert them into scalable technical solutions.
- Collaborate with stakeholders to deliver high-performance, business-driven data solutions.
- Support analytics and reporting requirements.
- Independently drive assigned engineering activities and deliver results.
About Company:-
Stryker is a global medical technology company focused on improving healthcare through innovative medical products and services.
The company develops solutions across medical and surgical equipment, orthopaedics, and neurotechnology, helping healthcare professionals improve patient outcomes.
Stryker focuses on innovation, collaboration, and delivering advanced healthcare technologies that make a meaningful difference in people’s lives.
Stryker Hiring: Senior Engineer, EDT Data & Analytics – Data Engineering 2026 Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
