Key Responsibilities Application & Data Development
- Design, develop, and maintain scalable data pipelines, applications, and utilities using Python and PySpark.
- Build robust ETL/ELT frameworks and data processing solutions for large-scale datasets.
- Develop reusable components, libraries, and automation solutions following coding standards and best practices.
- Write clean, maintainable, and efficient code with proper error handling and logging.
- Participate in code reviews and ensure adherence to development standards.
Must-Have Skills
- Strong hands-on development experience in Python.
- Experience with PySpark and large-scale data processing.
- Strong understanding of software engineering principles, coding standards, design patterns, and best practices.
- Experience with AWS Cloud services such as Glue, Lambda, S3, EC2, API Gateway, ECS, etc.
- Hands-on experience with Snowflake or other cloud data platforms.
- Solid understanding of relational and non-relational databases.
- Experience developing Microservices.
- Knowledge of CI/CD pipelines, Git, version control, and DevOps practices.
- Strong SQL and data modeling skills.
- Excellent analytical, debugging, and problem-solving skills.
- Strong communication and stakeholder management skills
Key Responsibilities Application & Data Development
- Design, develop, and maintain scalable data pipelines, applications, and utilities using Python and PySpark.
- Build robust ETL/ELT frameworks and data processing solutions for large-scale datasets.
- Develop reusable components, libraries, and automation solutions following coding standards and best practices.
- Write clean, maintainable, and efficient code with proper error handling and logging.
- Participate in code reviews and ensure adherence to development standards.
Must-Have Skills
- Strong hands-on development experience in Python.
- Experience with PySpark and large-scale data processing.
- Strong understanding of software engineering principles, coding standards, design patterns, and best practices.
- Experience with AWS Cloud services such as Glue, Lambda, S3, EC2, API Gateway, ECS, etc.
- Hands-on experience with Snowflake or other cloud data platforms.
- Solid understanding of relational and non-relational databases.
- Experience developing Microservices.
- Knowledge of CI/CD pipelines, Git, version control, and DevOps practices.
- Strong SQL and data modeling skills.
- Excellent analytical, debugging, and problem-solving skills.
- Strong communication and stakeholder management skills
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Skills Required
- Strong hands-on development experience in Python
- Experience with PySpark and large-scale data processing
- Experience with AWS Cloud services (Glue, Lambda, S3, EC2, API Gateway, ECS)
- Hands-on experience with Snowflake or other cloud data platforms
- Strong understanding of software engineering principles, coding standards, and design patterns
- Solid understanding of relational and non-relational databases
- Experience developing Microservices
- Knowledge of CI/CD pipelines, Git, version control, and DevOps practices
- Strong SQL and data modeling skills
- Excellent analytical, debugging, and problem-solving skills
- Strong communication and stakeholder management skills
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or 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.
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