Data Engineer

Description: Data Engineer with Palantir Expertise

We are seeking a seasoned Data Engineer with 5 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 Responsibilities:

• 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.