Lead Data Engineer (GenAI) - Jersey City, NJ (Hybrid - 3days onsite per week)

Overview

On Site
Accepts corp to corp applications
Contract - Long Term

Skills

SQL
AWS
PYSPARK
Bigdata
Snowflake
Data Engineer
genai

Job Details

Our client is looking for a Lead Data Engineer (GenAI) with a Fulltime / Contract project in Jersey City, NJ (Hybrid) below is the detailed requirement.

Job Title : Lead Data Engineer (GenAI)

Location : Jersey City, NJ (Hybrid 3days onsite per week)

Mode of Hire : Fulltime / Contract

Must skills: Snowflake, SQL, Python, Spark, AWS- Glue, Big Data Concepts

Job Description:

Responsibilities:

  • 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.

Must-Have Skills:

  • 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

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.

Preferred Qualifications:

  • Experience with data modeling and ETL processes.
  • Familiarity with data governance and data security practices.
  • Certification in AWS or Snowflake is a plus.
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