Lead Data Engineer

5 days ago

Jersey City, New Jersey, United States eHub Global Inc Full time $120,000 - $200,000 per year

Role – Lead Data Engineer

Location – Jersey City NJ (On-site)

JD:

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
  • 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.

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