Lead Data Engineer

Location: Jersey City, NJ (Day 1 onsite) Experience: 10+ years specifically Experience in Property and Casualty Insurance domain is a Must Key Skills: Snowflake, SQL, Python, Spark, AWS- Glue, Big Data Concepts Responsibilities: • Lead the design, development, and implementation of data solutions using AWS and 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. • Work closely with stakeholders to gather requirements and deliver data-driven insights. • Ensure compliance with industry standards and best practices in data engineering. • Utilize knowledge of insurance, particularly claims and loss, to enhance data solutions. Must have: • Snowflake expertise (hands-on & architectural understanding) , challenging situation in the project(most common question)this must be data related, or implementation related only • ETL/Data Management proficiency, mastery in: Query optimization, data quality, performance tuning, big data problems, RBAC, row/column-level security, CDC, Incremental vs Batch, Unix commands, job scheduling, CI/CD pipeline • Team leadership (8-10+ members) , End-to-end project implementation with clarity, complex challenges in the project, describe the specific problem and its solution • Excellent communication skills • Stakeholder management & cross-functional collaboration (knowledge on data quality checks, profiling, STTM, data integration from multiple sources, reusable framework) • Release planning, change management, training, KT, L2/L3 support • Apache Iceberg + AWS glue • 10+ years of relevant experience in Data Engineering and delivery. • 10+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations. • Strong experience with SQL, python and PySpark • Good understanding of Data ingestion and data processing frameworks • Good experience 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 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 and 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 and 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.