Data Engineer with Palantir - Remote (Only W2 consultants)
Posted 3 days ago by Marici Solutions
Negotiable
Undetermined
Remote
Remote
Summary: The role of Data Engineer with Palantir Experience involves designing scalable data solutions and building robust data pipelines, requiring 5-10 years of experience in data engineering, AWS, and microservices architecture. The ideal candidate should have hands-on expertise or certification in Palantir Foundry and familiarity with AI/ML frameworks. This position is remote and focuses on integrating machine learning models into data workflows. The candidate will also need strong problem-solving skills and experience in agile environments.
Key Responsibilities:
- Design scalable data solutions and build robust data pipelines.
- Integrate machine learning models into data workflows.
- Focus on ETL workflows and cloud computing.
- Utilize AWS services for data processing and storage.
- Work with programming languages such as Python and PySpark.
- Implement microservices architecture and distributed systems.
- Utilize AI/ML tools and frameworks in data pipelines.
- Work with big data technologies like Apache Spark, Kafka, and Snowflake.
- Optimize performance and solve complex problems.
- Apply modern DevOps practices, including CI/CD and container orchestration.
- Deliver complex data engineering solutions in agile environments.
Key Skills:
- 5-10 years of experience in data engineering.
- Expertise or certification in Palantir Foundry.
- Strong experience with AWS services (S3, Glue, Athena, Lambda, Redshift).
- Proficiency in Python and PySpark.
- Understanding of microservices architecture and distributed systems.
- Familiarity with AI/ML tools (TensorFlow, PyTorch).
- Experience with big data technologies (Apache Spark, Kafka, Snowflake).
- Problem-solving and performance optimization skills.
- Exposure to DevOps practices (CI/CD, Docker, Kubernetes).
- Experience in agile environments.
Salary (Rate): £45
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Data Engineer with Palantir Experience
Location: Remote
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
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