Position: Data Engineer with Palantir Experience
Location: NJ/NYC/Atlanta
Duration: Long Term
We are seeking a seasoned Data Engineer with 5-10 years of experience in data engineering, AWS, microservices architecture, and AI/ML frameworks, along with hands-on expertise or certification in Palantir Foundry. The ideal candidate will work on designing scalable data solutions, building robust pipelines, and integrating machine learning models into data workflows.
Key Requirements:
5-10 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
Best Regards,
Rakesh Sharma
E-mail:
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