Lead Data Engineer (AWS)

Here are the job details:

Job Title Lead Data Engineer (AWS)
Location: Jersey City Work mode: Hybrid (4 days a week onsite) No. of Positions: 3
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 experienceinData Engineeringand 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 asappropriate.

• 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.