Intel Job Vacancies in Bengaluru: Intel is hiring a Snowflake Development Engineer to design, put into effect, and preserve statistics solutions with the use of Snowflake. The position entails working with cross-practical teams to optimize statistics storage, processing, and analytics. Ideal candidates ought to have enjoyed Snowflake architecture, SQL, and facts engineering great practices.
- Job Description: Intel Job Vacancies in Bengaluru
- Company: Intel
- Salary: Not Disclosed
- Location: Bengaluru
- Qualification: Graduate
- Employment Type: Full-time, Permanent
Intel Job Vacancies in Bengaluru Job Description:
Intel seeks an experienced Snowflake Development Engineer to design, implement, and maintain data architecture on the Snowflake platform for Supply Chain Planning. Key responsibilities include data integration, building Snowpipes, optimizing queries, managing system performance, and ensuring data security and compliance. Proficiency in SQL, Python, cloud platforms (Azure/AWS), and data modeling is essential. Preferred qualifications include SnowPro Core certification and Power BI experience.
Key Responsibilities:
1. Data Integration and Processing:
- Collaborative Design: Work with cross-practical groups (such as Supply Chain, Data Science, and Analytics) to apprehend statistics requirements and design optimal records fashions that align with business objectives.
- ETL Development: Partner with ETL builders to ensure seamless and green information integration, focusing on extracting, transforming, and loading statistics into the Snowflake surroundings.
- Data Streams and Snowpipes: Build, optimize, and maintain Snowpipes for actual-time data ingestion and streaming. Ensure smooth statistics processing by leveraging Snowflake’s specific capabilities.
- Cloud Storage Integration: Manage statistics loads and unloads from/to Microsoft Blob Storage making sure smooth interaction with Snowflake and efficient storage use.
- Troubleshooting and Quality Control: Identify and solve statistics integration problems, making sure the accuracy, consistency, and timeliness of information throughout numerous structures.
2. Administration and Performance Monitoring:
- System Monitoring: Continuously display the health, overall performance, and useful resource utilization of the Snowflake records platform to ensure smooth operations.
- Optimization: Perform optimizations as needed to enhance question overall performance, statistics load instances, and machine aid management.
- Capacity Planning: Anticipate the destiny boom of the records infrastructure and proactively plan assets to make certain scalability.
3. Security and Compliance:
- Data Security: Implement, put into effect, and frequently replace protection policies and techniques to shield sensitive data. Ensure encryption and fact-protecting strategies are employed where wanted.
- Compliance: Ensure adherence to industry standards and regulatory requirements (consisting of GDPR, CCPA, HIPAA, and so on.) inside the storage and processing of records.
- Audit and Risk Management: Work with inner security teams to make certain that audit logs and compliance protocols are in the area.
4. Documentation:
- Technical Documentation: Create and maintain thorough documentation for the Snowflake facts structure, consisting of facts models, integration tactics, and troubleshooting steps.
- Knowledge Sharing: Provide clean documentation and tips for each technical group and non-technical stakeholders on how records systems work and the way they may be applied efficaciously.
5. Automation and Optimization:
- Scripting & Automation: Use Python or Snowflake scripting to automate routine tasks, display records pipelines, and trigger workflows for seamless operations.
- Optimizing Data Models: Regularly evaluate statistics models to ensure they are optimized for performance, scalability, and value-effectiveness within Snowflake.
- Process Improvements: Continuously searching for opportunities to enhance records processing flows, enforce quality practices, and refine improvement strategies.
Skills & Qualifications:
Minimum Qualifications:
- Education: A Bachelor’s and/or Master’s degree in Computer Science, Information Technology, or a related field is required.
- Experience: At least 7+ years of experience in Data Engineering or a similar role with deep expertise in the Snowflake platform and related tools.
- Strong SQL Skills: Solid revel in with SQL is crucial, particularly in optimizing complex queries and dealing with massive datasets.
- Cloud Platforms: Familiarity with Azure or AWS cloud environments is necessary, which includes the combination of Snowflake with those systems.
- Scripting Skills: Proficiency in Python or Snowflake Scripting for developing custom capabilities, automating obligations, and dealing with records integration.
- Data Modeling Expertise: Understanding of facts modeling standards and quality practices for growing efficient and scalable statistics models.
- ETL Tools: Experience with ETL procedures, statistics transformation, and related equipment in cloud-primarily based environments.
- Problem-Solving: Strong hassle-solving and troubleshooting competencies, in particular with complicated statistics integration and performance-demanding situations.
- Collaboration: Strong conversation and collaboration abilities to paint efficaciously with each technical and business group.
Preferred Qualifications:
- SnowPro Core Certification: Preferred applicants may have the SnowPro Core Certification, demonstrating know-how in Snowflake.
- Data Warehousing Best Practices: Familiarity with records warehousing standards and practices, mainly within cloud environments, is a tremendous gain.
- Supply Chain IT Knowledge: Experience in working with information systems for Supply Chain Planning is incredibly advantageous.
- Power BI Reports: Familiarity with Power BI or different information visualization equipment is beneficial for generating reviews and appearing statistics evaluations.
Benefits at Intel:
Comprehensive Health Coverage: Medical, dental, and vision plans to ensure certain personnel’s fitness and health.
Retirement Savings: Competitive 401(ok) plan with corporation contributions to assist employees in saving for their destiny.
Paid Time Off: Generous vacation, ill leave, and holiday regulations to sell work-life stability.
Career Development: Access to non-stop mastering, schooling packages, and mentorship possibilities for profession boom.
About Company:
Intel is an international chief in semiconductor innovation, designing, and manufacturing superior incorporated digital technology platforms. Known for its microprocessors, Intel powers a huge range of computing gadgets, together with personal computers, servers, and mobile gadgets. The employer is dedicated to driving technological improvements, supplying high-performance answers, and allowing innovations across industries which include AI, cloud computing, and autonomous use. With a robust recognition of research, development, and sustainability, Intel plays a key role in shaping the destiny of Era International.
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