Azure Data Engineer | Ernst & Young | 5 Years+

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Job Title: Azure Data Engineer

Company: EY (Ernst & Young)

Experience: 5 Years+

Application Deadline: [Insert Deadline]

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About EY: EY is a global leader in assurance, advisory, tax, and transaction services, with a commitment to building a better working world. We help our clients solve their most complex business challenges, from strategy through execution. With a worldwide presence in over 150 countries, EY is consistently recognized as a top employer and a great place to build a rewarding career.

Job Description: EY is seeking highly skilled and motivated Azure Data Engineers to join our dynamic team. As an Azure Data Engineer, you will play a pivotal role in designing, developing, and maintaining data solutions that drive business insights and support decision-making processes for our clients. We are looking for candidates who can join us in the next 15 days, with a strong background in Azure data technologies and a passion for delivering high-quality solutions.

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Key Responsibilities:

  1. Data Engineering: Design, develop, and maintain data pipelines and data solutions using Azure technologies such as Spark, Synapse, Streaming, Synapse SQL pools, and Synapse pipelines.
  2. SQL Coding: Write and optimize SQL code for data extraction, transformation, and loading (ETL) processes.
  3. Data Validation: Conduct SQL and database-based validations to ensure data accuracy, completeness, and consistency.
  4. ETL Process: Hands-on experience in ETL processes, including data extraction, transformation, and loading.
  5. Streaming Data: Work with real-time data streams to support data-driven decision-making.
  6. API Testing: Knowledge of API testing and experience with automation tools for testing data pipelines and data integrations.
  7. Collaboration: Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions.
  8. Performance Optimization: Optimize data pipelines and processes for performance and scalability.
  9. Documentation: Maintain comprehensive documentation of data solutions, processes, and workflows.

Qualifications:

  1. Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
  2. Experience: 5 years or more of hands-on experience in data engineering and Azure technologies.
  3. Technical Skills:
    • Proficiency in Spark, Synapse, Streaming, Synapse SQL pools, and Synapse pipelines.
    • Strong SQL coding skills.
    • Hands-on experience with ETL processes and testing.
    • Knowledge of API testing and automation tools is a plus.
  4. Communication Skills: Excellent verbal and written communication skills to effectively collaborate with team members and clients.
  5. Problem-Solving: Strong problem-solving and analytical skills to identify and resolve data-related issues.
  6. Adaptability: Ability to adapt to evolving technologies and learn new tools and platforms as needed.
  7. Team Player: A collaborative mindset with the ability to work effectively in a team-oriented environment.
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How to Apply: Interested candidates are encouraged to send their CVs to vasudha.goel@in.ey.com or drop a direct message (DM) to [Your Contact Information] with their resume attached. Please include “Azure Data Engineer Application” in the subject line of your email or DM.

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