AWS/Snowflake Lead/Senior Data Engineer
Title :- AWS/Snowflake Lead/Senior Data Engineer Location :- Jersey City, NJ ( Only FTE, Hybrid – 04 Days per week ) Target Start Date / Urgency to Fill Role :- As early as possible . Candidate Preference: Local candidates preferred. Duration :- FTE Must Haves :- Snowflake, SQL, AWS- Glue, Python, Agile, Pyspark, Big Data Concepts Required Skills & Qualifications : 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: Minimum 08+ Years of relevant experience in Data Engineering and delivery. Minimum 08+ years of relevant work experience in Big Data Concepts . Must have 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. 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 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. Preferred Qualifications: Experience with Data Modelling and ETL Processes . Familiarity with Data Governance and Data Security practices. Certification in AWS or Snowflake is a plus.