DXC Technology At Azure Data Engineer | Apply Now

Role: Azure Data Engineer

Company: DXC Technology

Experience: 3 – 7 years

Salary: Not Disclosed

Location: Bengaluru

About DXC Technology

DXC Technology is a global IT offerings agency that leverages the energy of innovation and technology to help customers at some stage in industries achieve their organization’s dreams. With a comprehensive portfolio of offerings and deep knowledge in areas collectively with cloud computing, cybersecurity, analytics, and application services, DXC Technology companions with agencies to energy their virtual transformation. The enterprise business enterprise operates in over 70 worldwide places, serving thousands of customers and fostering a lifestyle of non-forestall improvement and innovation. DXC Technology is devoted to delivering excellence through its expert body of employees, strategic partnerships, and determination to sustainability and social obligation.

Azure Data Engineer Job Description

The position of an Azure Data Engineer at DXC Technology is vital for using facts-centric solutions that empower businesses to make informed picks. By developing and handling facts pipelines, integrating numerous information properties, and making sure excessive records are best and protected, Azure Data Engineers play a pivotal position inside the company’s information method. Essential competencies encompass skill ability in Azure Data Factory, SQL, Python, and facts modeling, alongside facet strong hassle-solving and conversation skills.

Azure Data Engineer Roles

• Data Pipeline Development: Build and manipulate records pipelines for green data waft.
• Data Integration: Integrate statistics from diverse resources into Azure garage answers.
• Data Transformation: Design and implement data transformation strategies.
• Performance Tuning: Optimize statistics garage and retrieval for typical performance.
• Security Implementation: Ensure facts security and compliance with suggestions.

Responsibilities of Azure Data Engineer

1. Develop ETL Processes: Create green ETL strategies for records ingestion and transformation.
2. Monitor Data Quality: Maintain immoderate records quality and accuracy.
3. Optimize Data Solutions: Continuously improve data storage and retrieval overall performance.
4. Collaborate with Teams: Work with move-practical teams for facts necessities.
5. Maintain Documentation: Keep wonderful documentation of information procedures and workflows.
6. Implement Data Security: Ensure strong facts security measures are in the vicinity.
7. Support Data Analytics: Assist in information evaluation and reporting duties.
8. Troubleshoot Issues: Identify and treat records-associated problems.
9. Stay Updated: Keep abreast of the cutting-edge Azure facts technologies and excellent practices.
10. Provide Training: Educate group members on information engineering practices and systems.

Azure Data Engineer Required Skills

• Azure Data Factory: Proficiency in Azure Data Factory for ETL strategies.
• SQL: Strong SQL competencies for records querying and manipulation.
• Python/Scala: Experience in programming languages like Python or Scala.
• Data Modeling: Knowledge of facts modeling strategies.
• Big Data Technologies: Familiarity with massive records equipment like Hadoop and Spark.
• Power BI/Tableau: Skills in data visualization tools.
• Cloud Storage: Expertise in Azure Blob Storage and Azure Data Lake.
• Security Best Practices: Understanding of facts protection and compliance.
• Problem-Solving: Strong analytical and hassle-solving abilities.
• Communication: Excellent communique and teamwork competencies.

Education and Qualifications

1. Bachelor’s Degree: Degree in Computer Science, Engineering, or associated area.
2. Master’s Degree: Preferred in an applicable location.
3. Azure Certifications: Microsoft Certified: Azure Data Engineer Associate.
4. Experience: Minimum of three years in information engineering.
5. Programming Knowledge: Proficiency in programming languages.
6. Database Knowledge: In-depth understanding of SQL and NoSQL databases.
7. ETL Tools Experience: Hands-on revel in with ETL equipment.
8. Big Data Experience: Experience with massive information technology.
9. Analytical Skills: Strong analytical abilties for statistics processing.
10. Communication Skills: Excellent written and verbal verbal exchange abilties.

Azure Data Engineer Benefits

• Competitive Salary: Attractive reimbursement packages.
• Health Benefits: Comprehensive medical insurance plans.
• Flexible Working: Options for far-flung and flexible strolling arrangements.
• Professional Development: Opportunities for continuous mastering and certification.
• Retirement Plans: Robust retirement financial savings plans.

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