Data Engineer Role with Leading Insurance Company

Roles and Responsibilities

Key Responsibilities:

• Identify, create, maintain and support data model/data aggregation model base on business requirements and implement ETL for those models accordingly.

• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

• Implementing, establishing standards, and maintaining company data lake (UDP), regional platforms data streaming from Apache Kafka topics.

• Develop and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.

• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.

• Writes unit/integration tests, contributes to engineering wiki, and documents work.

• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

• Works closely with a team of frontend and backend engineers, product managers, and analysts.

• Define company data assets (data models), Azure SQL, MongoDB.

• Design data integrations and data quality framework.

• Design and evaluates open source and vendor tools for data lineage.

• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.

• Plan, create, and maintain data architectures while also keeping it aligned with business requirements.

• Work closely with business and application delivery team on new digital project/implementation to understand solution and implemented data structure so that all relevant data engineer work including reports and various data-related enhancement can be implemented accordingly as part of the project.

• Develop report/dashboard/dataset for business user base on request.

• Assist to support existing reports/dashboard.

Experience/Skill:

• Bachelor’s Degree in Computer Science / Engineering with Business degree is a bonus.

• Experience working as data engineer.

• Experience with or knowledge of Agile Software Development methodologies

• Excellent problem solving and troubleshooting skills

• Process oriented with great documentation skills

• Excellent oral and written communication skills with a keen sense of customer service

• 4+ years of SQL experience (No-SQL experience is a plus)

• Experience building and maintaining ETL job, data warehouse / data lake

• Experience building data visualization on Microsoft PowerBI

• Experience

Location:- Bangalore