Palantir Lead Data Engineer

Title: Palantir Lead Data Engineer Duration :- Contract Location: Jersey City, New Jersey Interview :- 02 Rounds, Virtual with Video required for both. Target Start Date / Urgency to Fill Role :- As early as possible. Must Have: • Palantir/Typescript OR Insurance • Snowflake, SQL, Python, Spark, AWS- Glue, Big Data Concepts Responsibilities • Lead the design, development, and implementation of data solutions using AWS & Snowflake. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Develop and maintain data pipelines, ensuring data quality, integrity, and security. • Optimize data storage and retrieval processes to support data warehousing and analytics. • Provide technical leadership and mentorship to junior data engineers. • Ensure compliance with industry standards and best practices in data engineering. • Utilize knowledge of insurance, particularly claims & loss, to enhance data solutions. Must have • 06 - 08 years of relevant experience in Data Engineering and Delivery. • 05+ years of relevant work experience in Big Data Concepts. • Should have worked on Cloud Implementations. • Expertise with SQL, Python and PySpark. • Good understanding of Data Ingestion and Data Processing Frameworks. • Expertise in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture). • Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership as appropriate. • Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production Environment. • Experience working in Agile Methodology. • Proven expertise or certification in Palantir Foundry / Typescript is highly preferred. Good to have • Have experience in DevOps tools (Jenkins, GIT etc.) and practices, continuous integration, and delivery (CI/CD) pipelines. • Worked on cloud implementations, data migration, Data Vault 2.0, etc. Requirements • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. • Proven experience as a Data Engineer, with a focus on AWS & Snowflake. • Strong understanding of data warehousing concepts and best practices. • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. • Experience in the insurance industry, preferably with knowledge of claims & loss processes. • Proficiency in SQL, Python, and other relevant programming languages. • Strong problem-solving skills and attention to detail. • Ability to work independently and as part of a team in a fast-paced environment. • Experience with data modelling and ETL processes. • Familiarity with data governance and data security practices. • Certification in AWS or Snowflake is a plus.