Stryker Hiring Drive 2024 For IT Data Engineer | Location Gurugram

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Stryker Hiring Drive 2024: Stryker Hiring Drive 2024 for its IT Data Engineer. Stryker Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree. if you are interested, please apply as soon as possible.

Company Name: Stryker

Role: IT Data Engineer

Location: Gurugram

Experience: 1-2 years

Qualification: Bachelor’s Degree

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Stryker Hiring Drive 2024

Job Description:

  • Data Engineer is responsible for developing robust, scalable, high-performance data pipelines enabling the organization to extract valuable insights from large and complex datasets.
  • This role will leverage Azure data services for data integration work, including developing a data model, maintaining a data lake and analytics environment, and writing scripts for data integration and analysis.
  • This role will work closely and collaboratively with Data & Analytics team members to define requirements, mine and analyze data, integrate data from various sources, and deploy high-quality data pipelines to support the analytics needs of different Stryker business divisions and functions.


  • Bachelor’s Degree from an accredited university required, Bachelor’s degree in the areas of Computer science, Engineering, Information Systems, Business, or equivalent field of study preferred.
  • Azure based data engineering certifications preferred.
  • Minimum 1-2 years of relevant experience required
  • Ability to analyze business situations
  • Proven experience as a Data Engineer with a strong focus on the Azure, Databricks, and Snowflake data analytics technology stack.
  • Proficient in SQL and extensive experience with Azure services, Databricks, and Snowflake.
  • Familiarity with big data and advanced data science technologies is a plus.
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and collaboration skills.


  • Data Architecture: Design, implement, and maintain scalable and efficient data architecture to support business intelligence and analytics needs primarily utilizing Azure, Databricks, and Snowflake technology stack.
  • Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.
  • Data Pipeline Development: Develop and maintain robust ETL/ELT processes to move and transform data from various sources into our data warehouse with key focus on Azure data factory pipelines.
  • Optimize and automate data pipelines to ensure high performance, reliability, and data integrity.
  • Database Management: Manage and optimize database systems, ensuring they meet performance and security requirements.
  • Implement data retention policies and archival strategies.
  • Data Quality and Governance: Establish and enforce data quality standards and best practices.
  • Work closely with data stewards to ensure data accuracy, completeness, and consistency.
  • Performance Tuning: Monitor and tune database and query performance for optimal efficiency.
  • Troubleshoot and resolve issues related to data processing and storage.
  • Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions.
  • Work closely with the IT team to integrate data engineering solutions into overall IT architecture.
  • Documentation: Document data engineering processes, workflows, and solutions.
  • Create and maintain documentation for data dictionaries, data lineage, and metadata.

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