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Data Engineer – Decision Analytics – Google Cloud SQL

Data Science & Analytics Job ID: 1729963

COMPANY OVERVIEW:

Our client is a trusted partner to many Fortune 500 organizations, serving their digital and analytics needs for 20+ years. They have been recognized by Everest Group in 2023 as a Leader in Advanced Analytics and Insights Services, solidifying their commitment to excellence.

The company’s expertise is in transformation, data science, and change management that helps make businesses more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource and time-intensive platform designs or migrations, they look deeper at the entire value chain to integrate strategies with impact.

POSITION OVERVIEW:

We are seeking an experienced and passionate Data Engineer with experience with GCP (Google Cloud Platform) and SQL. 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

RESPONSIBILITIES:

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
  • 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 work day will involve working with stakeholders in individual contributor.
  • 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.

PREFERRED PROFILE:

  • Bachelor’s/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 pace continuously evolving environment and ready to take up uphill challenges

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 customer 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 deliverable with minimal or no supervision
  • Good communication skill for client interaction

Data Management Skillsets:

  • Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred
  • Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures). 
  • Strong ability to translate functional specifications / requirements to technical requirements

LOCATION: Remote in the US or in Ontario Canada

Job ID# 1729963

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