What will you do:

• Developing scalable Big Data applications or solutions on distributed platforms.

• Proficient in working on Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.

• Able to partner with others in solving complex problems by taking a broad perspective to identify

innovative solutions.

• Strong skills building positive relationships across Product and Engineering.

• Able to influence and communicate effectively, both verbally and written, with team members and

• business stakeholders

• Able to quickly pick up new programming languages, technologies, and frameworks.

• Experience working in Agile and Scrum development process.

• Experience working in a fast-paced, results-oriented environment.

• Experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.

• Experience working with Data Warehousing tools, including SQL database, Presto, and Snowflake

• Experience architecting data product in Streaming, Serverless and Microservices Architecture and

• platform.

• Experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering & Delta

• Lake components, and Lakehouse Medallion architecture), etc.

• Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs,

• build Docker images, etc.

• Experience working with distributed technology tools, including Spark, Python, Scala

• Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture

• Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc.

• Demonstrated experience in learning new technologies and skills.

What makes you a great fit:

• 5+ years of experience in developing scalable Big Data applications or solutions on distributed platforms.

• 4+ years of experience working with distributed technology tools, including Spark, Python, Scala

• Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture

• Proficient in working on Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.

• Experience working in Agile and Scrum development processes.

• 3+ years of experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.

• Experience architecting data product in Streaming, Serverless and Microservices Architecture and

• platform.

• 3+ years of experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering &

Delta

• Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs,

build Docker images, etc.

• Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc.

About Us:

Company: EXL

Choosing a digital partner is about more than just capabilities; it's about collaboration and character. At EXL, we prioritize your unique needs, culture, goals, and legacy systems over unrealistic overhauls and generic solutions. Our partnership is based on continuous listening and learning, adapting our methodologies to suit your evolving business. As your business evolution partner, we tailor data-driven solutions to enhance decision-making and drive digital transformation. Whether aiming to scale AI, redesign operating models, or improve decision-making speed, we help you achieve and sustain competitive advantage with efficient, scalable models. Our expertise in transformation, data science, and change management drives efficiency, better customer relationships, and revenue growth.