3-6-years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.
Proven expertise or certification in Palantir Foundry is highly preferred.
Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
Proficiency in programming languages such as Python, PySpark
Deep understanding of microservices architecture and distributed systems.
Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
Experience with big data technologies like Apache Spark, Kafka, and Snowflake.
Strong problem-solving and performance optimization skills.
Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.
Experience working in agile environments delivering complex data engineering solutions.

Benefits

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringETL workflowsdata pipelinescloud computingPythonPySparkmicroservices architecturedistributed systemsbig data technologiesperformance optimization

Soft Skills

problem-solving