🚀 Job Opening: Data Engineer (Palantir is Mandatory)
📍 Location: NJ / NYC / Atlanta
W2 Candidates
🕒 Experience Level: 7–10 Years
We are looking for an experienced Data Engineer to join our team and lead the design and development of scalable, cloud-based data solutions.
👉 Please share your updated resume along with your LinkedIn profile URL.
The ideal candidate brings strong expertise in Palantir Foundry, a solid background in AWS, ETL pipelines, and familiarity with AI/ML integration in data workflows.
🔧 Key Responsibilities:
Design and implement scalable and resilient data pipelines and ETL workflows.
Leverage Palantir Foundry for building data integration and transformation workflows.
Integrate machine learning models into end-to-end data solutions.
Work with AWS services like S3, Glue, Athena, Lambda, and Redshift.
Collaborate across teams to optimize microservices-based data architectures.
Implement and maintain best practices in DevOps, CI/CD, and containerized deployments using Docker and Kubernetes.
✅ Key Requirements:
7–10 years of hands-on experience in data engineering.
Palantir Foundry expertise or certification is mandatory.
Strong command of Python, PySpark, and big data frameworks like Apache Spark, Kafka, and Snowflake.
Proficiency in cloud computing, particularly within the AWS ecosystem.
Solid understanding of microservices architecture and distributed systems.
Exposure to AI/ML tools like TensorFlow, PyTorch, and integrating them into data pipelines.
Experience with modern DevOps practices and tools (CI/CD, Docker, Kubernetes).
Agile delivery experience with cross-functional engineering teams.
📩 To Apply:
Please send your resume and LinkedIn profile to:
📧 bhushan.thakur@maricisolutions.com