Job Summary

Wipro is seeking a talented and motivated Associate Data Engineer to join our dynamic Data & Analytics team. The ideal candidate will play a pivotal role in designing, developing, and maintaining scalable data pipelines and solutions on Azure Databricks and SQL platforms. This role requires a blend of strong technical expertise, problem-solving capabilities, and a collaborative mindset to drive data-driven decision-making across Wipro’s global projects.

As an Associate Data Engineer, you will work closely with business stakeholders, data scientists, and analytics teams to ensure high-quality data availability, reliability, and performance for various enterprise applications. This is an excellent opportunity for individuals looking to grow their career in cloud-based data engineering and analytics.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, and SQL.

• Implement data integration workflows from multiple structured and unstructured data sources.

• Optimize and tune SQL queries and Databricks notebooks for performance and efficiency.

• Collaborate with data scientists, analysts, and business users to gather requirements and provide technical solutions.

• Ensure data quality, governance, and security compliance for enterprise data solutions.

• Troubleshoot and resolve data-related issues in production and development environments.

• Assist in migrating on-premise data systems to Azure Cloud and implement modern cloud data architectures.

• Document technical processes, workflows, and best practices to maintain knowledge sharing within the team.

Required Skills and Qualifications

• Strong knowledge of Azure Databricks, SQL, and Python or Scala.

• Experience with ETL/ELT processes, data modeling, and relational databases.

• Familiarity with cloud-based data architectures and big data technologies.

• Understanding of data warehousing concepts and analytics workflows.

• Excellent problem-solving skills with attention to detail and accuracy.

• Strong verbal and written communication skills to collaborate effectively with cross-functional teams.

Experience

• 1–3 years of experience in data engineering, analytics, or related roles.

• Prior experience in Azure Cloud environments is highly preferred.

• Hands-on experience in SQL query optimization and data pipeline development is a plus.

Working Hours

• Full-time position, typically 40–45 hours per week.

• Flexibility to work across different time zones as per project requirements.

• Option for remote work or hybrid setup, depending on project and location.

Knowledge, Skills, and Abilities

• Strong analytical thinking and ability to work with complex datasets.

• Ability to learn and adapt quickly to emerging technologies and tools.

• Excellent organizational skills and capacity to manage multiple tasks efficiently.

• Strong team player with the ability to work independently when required.

• Commitment to delivering high-quality results within deadlines.

Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness programs.

• Learning and development opportunities including certifications in Azure, Databricks, and SQL.

• Flexible working arrangements and work-life balance initiatives.

• Employee recognition programs and a collaborative workplace culture.

Why Join Wipro

• Work with cutting-edge technologies in cloud data engineering and analytics.

• Be part of a globally recognized IT leader known for innovation and excellence.

• Opportunity for career growth and skill enhancement in a supportive environment.

• Engage in diverse and challenging projects across multiple industries.

• Contribute to Wipro’s mission of transforming businesses with data-driven solutions.

How to Apply

Interested candidates can apply online via Wipro’s official careers portal: https://careers.wipro.com

• Submit an updated resume highlighting relevant skills and experience.

• Include a cover letter showcasing your passion for data engineering and cloud technologies.

• Shortlisted candidates will be contacted for technical assessments and interviews.