Azure Data Engineering Lead

Location: Bangalore, Gurgaon, Pune, Mumbai, Delhi, Chennai, Hyderabad, Kolkata, Noida, Ahmedabad

Experience: 3-6 Years

Notice Period: Immediate to 30 Days

Overview

As an Azure Data Engineer at NCG, you will play a critical role in shaping our data solutions. You will work alongside a dynamic team dedicated to driving data innovation and excellence, contributing to meaningful projects that influence client success. In this collaborative environment, you will have opportunities for continuous growth, professional development, and to make a significant impact within our organization and industry. Your work will also foster a culture of curiosity and inspiration, where everyone is encouraged to explore new ideas.

Requirements

Responsibilities:

• Bachelors or Master’s degree in Computer Science, Information Technology, or a related field.
• 5-8 years of hands-on experience in data engineering or a similar role.
• Proficient in Python programming for data processing and automation.
• Strong knowledge of Spark for large-scale data processing.
• Experience with SQL and NoSQL database technologies.
• Familiarity with Azure data services, including Azure SQL Database and Azure Synapse Analytics.
• Excellent communication skills to convey complex technical information to non-technical stakeholders.
• Experience in presales activities, particularly in crafting effective data solutions.

Key Duties:

• Design and implement robust data pipelines, ensuring reliability and efficiency.
• Utilize Azure services to manage data storage and processing workflows.
• Develop data architecture that supports advanced analytics and machine learning.
• Collaborate closely with AI/ML teams to enhance data solutions.
• Deliver data insights to stakeholders through effective visualization practices.
• Lead presales discussions, showcasing our capabilities to clients.
• Conduct regular evaluations of tools and technologies to improve data processing.
• Participate in client meetings to provide technical expertise.

Benefits

• Mentor team members on data engineering best practices.
• Continuously innovate and stay updated on industry trends.
• Comprehensive healthcare coverage.
• Generous paid time off policy.
• Opportunities for professional development and growth.
• Supportive work environment that fosters innovation.
• Flexible work arrangements to suit individual needs.
• Additional perks, including employee wellness programs.