Job Description

Azure Data Engineer - 3+ Years - Gurgaon
An excellent opportunity to join a leading global analytics organization where innovation meets impact. This role is perfect for professionals with hands-on experience in Azure Data Factory, Databricks, and ETL processes, who are passionate about solving complex business challenges through data-driven insights.
Location: Gurgaon
Your Future Employer: You will be working with a prestigious organization known for its commitment to diversity, equality and inclusion. They offer a dynamic work environment, opportunities for career growth, and a supportive team culture.
Responsibilities: * Design, develop, and maintain ETL pipelines using Azure Data Factory, Databricks, Informatica, or similar tools.

• Write and optimize advanced SQL queries and manage large-scale data systems.
• Translate business requirements into scalable and efficient data design.
• Execute and support testing cycles and deployment activities.
• Recommend and implement improvements in data flow and development processes.

Requirements: * Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, or related field.

• 2-7 years of experience in data engineering, analytics, or related domains.
• Strong knowledge of Azure Data Factory, Databricks, PL/SQL, and data lake architecture.
• Familiarity with Azure SQL Database, Blob Storage, Key Vault, and PySpark/Python.
• Excellent problem-solving, communication, and stakeholder management skills.

What is in it for you:

• A collaborative, fast-paced environment with global exposure.
• Continuous learning through mentoring and professional training programs.
• Opportunity to work on large-scale analytics projects for top-tier clients.
• Empowering culture that fosters innovation and growth.

Reach us: If you think this role aligns with your career aspirations, kindly share your CV at aayushi.goyal@crescendogroup.in for a confidential discussion.
Disclaimer: Crescendo Global specializes in senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with a memorable and professional hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note: We receive a large volume of applications daily. If you don't hear from us within a week, please assume your profile was not shortlisted. Your patience is appreciated.
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Profile Keywords: Azure Data Factory Jobs, Databricks Jobs, ETL Developer Jobs, Data Analytics Jobs, SQL Developer Jobs, Decision Analytics Jobs, Python Data Engineer Jobs, Azure Data Engineer Jobs

Skills Required