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Data Team Lead

This role is for a Data Team Lead (Lead Data Engineer) with 14+ years of experience, focusing on insurance claims. It's a hybrid C2C/W2 contract in Jersey City, NJ, requiring expertise in Snowflake, SQL, Python, Spark, and AWS.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 13, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Jersey City, NJ
🧠 - Skills detailed
#Debugging #Snowflake #Data Processing #Aurora RDS #Programming #RDS (Amazon Relational Database Service) #Data Engineering #Spark (Apache Spark) #AWS (Amazon Web Services) #Data Ingestion #Aurora #Agile #AWS Glue #S3 (Amazon Simple Storage Service) #Cloud #Big Data #PySpark #SQL (Structured Query Language) #Computer Science #Python
Role description
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Job Title: Lead Data Engineer (Claims)

Location: Jersey City, New Jersey (Hybrid)

No. of years of experience: 14+ years

Type: C2C/W2 Contract

Job Type: Contract

Key Skills: Snowflake, SQL, Python, Spark, AWS- Glue, Big Data Concepts

Insurance domain exp is MUST, preferably with knowledge of claims and loss processes

Must have:

8+ years of relevant experience in Data Engineering and delivery.
• 8+ 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.