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Lead Data Engineer (SQL)

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Lead Data Engineer (SQL):

Experience Required: 8+ years

Key Skills: Snowflake, SQL, Python, Spark, AWS- Glue, 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  
  • Strong 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.

 

Location: Bethlehem, PA (Hybrid)
Rate: up to $80/hr (Contract)