Senior Data Engineer Position

1 week ago

Bengaluru, Karnataka, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 25,00,000

Are you a data engineering professional seeking a challenging role with a leading insurance company? Look no further This Data Engineer position offers the opportunity to work on complex data projects, develop scalable data pipelines, and collaborate with cross-functional teams.

Key Responsibilities:
  • Data Model Development: Identify, create, maintain, and support data models/data aggregation models based on business requirements and implement ETL for those models accordingly.
  • Data Quality Monitoring: 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.
  • Company Data Lake Management: Implementing, establishing standards, and maintaining company data lake (UDP), regional platforms data streaming from Apache Kafka topics.
  • Scalable Data Pipelines: Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
  • Data Analysis and Troubleshooting: 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.
  • Cross-Functional Collaboration: Work closely with a team of frontend and backend engineers, product managers, and analysts.
  • Data Strategy Development: 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.
  • Architecture Planning: Plan, create, and maintain data architectures while also keeping it aligned with business requirements.
  • Project Implementation: 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.
  • Reporting and Dashboard: Develop report/dashboard/dataset for business user base on request. Assist to support existing reports/dashboard.

Requirements:
  • Education: Bachelor's Degree in Computer Science / Engineering with Business degree is a bonus.
  • Experience: Experience working as data engineer.
  • Methodologies: Experience with or knowledge of Agile Software Development methodologies
  • Skills: 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.
  • Technical Skills: 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.

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