Job Description: Job Description: Lead Data Engineer with Palantir Expertise
We are seeking a seasoned Data Engineer with 8+ 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.
Location - Gurugram
Key Requirements:
- 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.
