Senior Data Engineer focusing on data infrastructure for an AI - driven insurtech startup based in Nepal. Collaborating with teams to optimize data models and maintain data quality.
About the role
- Data Engineer/Senior Data Engineer developing scalable ETL/ELT pipelines and architecting data systems at Manulife. Collaborating with data professionals to ensure data quality and compliance.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
- Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries
- Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
- Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance
- Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs
- Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure
Requirements
- 4 or more years of relevant industry experience as Data Engineer
- Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks
- Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
- Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server)
- Good knowledge of data warehousing concepts and relational data modelling
- Familiarity with programming in both compiled languages (Java, Scala) and scripting languages (Python, SQL, R)
- Understanding of Agile scrum methodologies and experience of working in an Agile team
- Amenable to work on a hybrid set-up (3x onsite per week)
- Amenable to work on a night shift schedule (with flexibility for mid shift depending on business need)
Benefits
- Flexible work arrangements
- Professional development opportunities
- Recognition and support in a flexible environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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