Key Responsibilities
Data Engineering Support
- Assist in building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows.
- Work closely with senior engineers to understand solution design, data architectures, and coding best practices.
- Participate in development, testing, and deployment activities under guidance.
Collaboration & Communication
- Work with cross-functional teams to gather requirements and understand business needs.
- Communicate progress, challenges, and technical concepts clearly to team members.
- Support documentation of data processes, workflows, and technical specifications.
Learning & Continuous Improvement
- Continuously enhance technical skills in cloud technologies, SQL, and programming.
- Adopt best practices in coding, testing, and version control.
- Contribute ideas for improving processes and overall solution quality.
Must-Have Skills
- Strong understanding of data engineering fundamentals, SQL, and data processing concepts.
- Basic knowledge of cloud services (AWS/Azure/GCP) and data tools.
- Familiarity with Python or PySpark for data manipulation.
- Solid problem-solving and analytical abilities.
- Eagerness to learn new technologies and work in an Agile environment.
Good communication and teamwork skills
ResponsibilitiesKey Responsibilities
Data Engineering Support
- Assist in building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows.
- Work closely with senior engineers to understand solution design, data architectures, and coding best practices.
- Participate in development, testing, and deployment activities under guidance.
Collaboration & Communication
- Work with cross-functional teams to gather requirements and understand business needs.
- Communicate progress, challenges, and technical concepts clearly to team members.
- Support documentation of data processes, workflows, and technical specifications.
Learning & Continuous Improvement
- Continuously enhance technical skills in cloud technologies, SQL, and programming.
- Adopt best practices in coding, testing, and version control.
- Contribute ideas for improving processes and overall solution quality.
Must-Have Skills
- Strong understanding of data engineering fundamentals, SQL, and data processing concepts.
- Basic knowledge of cloud services (AWS/Azure/GCP) and data tools.
- Familiarity with Python or PySpark for data manipulation.
- Solid problem-solving and analytical abilities.
- Eagerness to learn new technologies and work in an Agile environment.
Good communication and teamwork skills
Qualifications- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
Skills Required
- Strong understanding of data engineering fundamentals, SQL, and data processing concepts.
- Basic knowledge of cloud services (AWS/Azure/GCP) and data tools.
- Familiarity with Python or PySpark for data manipulation.
- Solid problem-solving and analytical abilities.
- Eagerness to learn new technologies and work in an Agile environment.
- Good communication and teamwork skills.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
