Job Title Data Engineer - Palantir
Location: Jersey City, NJ
Work mode: Hybrid (4 days a week onsite)
6 Months C2H or 1099
Key Skills:Palantir, Python, PySpark, SQL, Python, AWS, snowflake
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We are seeking a seasoned Data Engineer with 5- 7 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:
- 3-10 years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.
- 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.
- Proven expertise or certification in Palantir Foundry is highly preferred
Best Regards,
Rakesh Sharma
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