Job Description

OUR CLIENT

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

ROLE

We are seeking a Data Engineer with 4-7 years experience in SQL & GCP.

We are looking for a go-getter person who can define:

• Analytic strategies to meet the demands of business requirements
• Technical requirements of the analytic solutions
• Data requirements of the analytic solution processes

• The person will be part of the Data Engineering team for a major Insurance client. He/ She will work with different stakeholders as SME for data engineering
• Acquire data from primary or secondary sources, implement data collection systems and maintain databases.
• Identify, develop and implement reporting and analytic tools
• Develop dashboards for visual representation of performance using visual reporting tools
• Engages in technical problem solving across multiple technologies; often needs to develop new solutions
• A typical day will involve working with stakeholders in an individual contributor capacity.
• A suitable candidate should have 4-7 years of experience in a similar role and should possess a go-getter attitude. He/ She should be able to deal with ambiguity.
• Experience in property and casualty insurance/actuarial projects preferred.

KEY RESPONSIBILITIES & SKILLSETS

• Common Skillsets:
  • 4+ years of experience in analytics ETL and associated data engineering jobs.
  • Experience with Google Cloud Platform services
  • Excellent communication & presentation skills
  • Experience in managing SQL codes and collaborating with customers on model evolution
  • Good knowledge of SQL, Big Query and GCP, Good to have- Data modeling experience
    • Should be able to work on a problem independently and prepare client-ready deliverables with minimal or no supervision
    • Good communication skills for client interaction
• Data Management Skillsets:
  • Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred
  • Should have a strong grasp of advanced SQL functionalities (joins, nested queries, and procedures).
  • Strong ability to translate functional specifications/requirements to technical requirements

CANDIDATE PROFILE

• Bachelors/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• Strong and in-depth understanding of DE Fundamentals
• Data analysis experience
• Superior analytical and problem-solving skills
• Outstanding written and verbal communication skills
• Able to work in fast fast-paced continuously evolving environment and ready to take up uphill challenges