Lead Data Engineer responsible for designing and implementing data solutions. Work with AWS and Snowflake in a global data and AI company headquartered in New York.
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.
Ensure compliance with industry standards and best practices in data engineering.
Utilize knowledge of insurance, particularly claims and loss, to enhance data solutions.
Requirements
8+ years of relevant experience in Data Engineering and delivery.
5+ years of relevant work experience in Big Data Concepts.
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)
Should be able to do coding, debugging, performance tuning, and deploying the apps to Production.
Experience working in Agile Methodology
Bachelor's or Master's degree in Computer Science, IT or related field.
Certification in AWS or Snowflake is a plus.
Experience in the insurance industry with knowledge of claims and loss processes is desirable.
Benefits
A competitive salary with a generous bonus
Private healthcare
Critical illness life assurance at 4 x your annual salary
Income protection insurance
A rewarding pension
EXL provides everyday financial well-being solutions, such as cash back cards
Cycle Scheme to save money on bikes and cycling accessories
Professional and personal development opportunities
A wide range of learning initiatives including online courses, seminars, and workshops.
Employee Stock Purchase Plan (ESPP)
Flexible hybrid working model that promotes a balanced lifestyle
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