Job Description

Job Title Lead Data Engineer (AWS)

Location: Jersey City

Work mode: Hybrid (4 days a week onsite)

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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