Sr. Data Engineer + Palantir

7 days ago

Jersey City, NJ, United States Saxon Global Full time
Must Haves: Python, Pyspark, AWS,Apache Spark, Kafka, Snowflake, Palantir
Job Description:
• 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.

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