Location : Jersey City (Onsite)
Experience : 15+ Years
Employment Type : Full-Time
Position Overview
We are seeking an experienced Lead Data Engineer to design, build, and optimize enterprise-scale data solutions using AWS, Snowflake, and Big Data technologies . This role requires a hands-on technical leader who can mentor a team, drive best practices in data engineering, and partner with business stakeholders to deliver scalable, secure, and high-quality data platforms. The ideal candidate will have strong expertise in SQL, Python, PySpark , and proven experience working in insurance or similar data-intensive industries.
Key Responsibilities
- Lead the design, development, and implementation of data solutions using AWS and Snowflake
- Collaborate with cross-functional teams to translate business requirements into technical designs
- Develop and maintain ETL / data pipelines , ensuring quality, integrity, and security
- Optimize data storage, retrieval, and query performance to support warehousing and analytics
- Provide technical leadership and mentorship to junior engineers and team members
- Ensure adherence to best practices, coding standards, and industry compliance in data engineering
- Conduct coding, debugging, performance tuning, and production deployments
- Work closely with stakeholders to deliver data-driven insights , with focus on insurance claims and loss data
- Support Agile delivery through sprint planning, backlog grooming, and iterative releases
Must-Have Skills
10+ years of experience in Data Engineering and deliveryStrong expertise in Big Data concepts and cloud implementations (AWS)Hands-on leadership of teams (minimum 4+ members)Proficiency in SQL, Python, and PySparkDeep knowledge of Snowflake, Glue, EMR, S3, Aurora, RDS, and AWS architectureStrong background in data ingestion and data processing frameworksExcellent communication, analytical, and problem-solving skillsAbility to take ownership and deliver results in fast-paced environmentsExperience working in Agile / Scrum methodologiesGood-to-Have Skills
Experience with DevOps tools (Jenkins, Git, etc.), CI / CD pipelines , and infrastructure automationHands-on with data migration and frameworks such as Data Vault 2.0Familiarity with modern data modeling and ETL processesRequirements
Bachelor's or Master's degree in Computer Science, Information Technology, or related fieldProven experience as a Data Engineer with a focus on AWS and SnowflakeStrong understanding of data warehousing concepts and best practicesExcellent communication skills to work across business and technical teamsIndustry experience in insurance , with exposure to claims and loss processes preferredStrong attention to detail, ownership mindset, and ability to work independently as well as in a teamPreferred Qualifications
AWS or Snowflake certificationsFamiliarity with data governance, lineage, and data security practicesExperience in regulated industries such as finance, insurance, or healthcareJ-18808-Ljbffr