Lead Data Engineer

Any visa will work. C2C/W2/1099

Lead Data Engineer (AWS)

Jersey City, NJ Hybrid (4 days a week onsite)

Contract

Key Skills: Snowflake, SQL, AWS- Glue, Pyspark, 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: 

• 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  

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

Regards,

Voto Consulting