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.
Requirements:
- 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.
Responsibility:
- 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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