17 Oct
Swiss Re
Secunderabad
About the Role
We are looking for a talented and motivated Data Analytics Engineer to join our Data Analytics Solutions team. The ideal candidate will have a solid foundation in Azure technologies, including Azure Data Factory (ADF), Azure Storage, and Power BI, with a preference for candidates who also have experience in backend development, particularly with .NET. The role focuses on developing, maintaining, and optimizing data analytics solutions.
Responsibilities
- Business Intelligence & Reporting:
- Develop and maintain Power BI reports and dashboards.
- Assist in integrating data from various sources to create insightful and actionable reports.
- Ensure that data visualizations meet the needs of clients and business stakeholders.
- Data Pipeline Development:
- Design and develop data pipelines using Azure Data Factory (ADF), SQL Server stored procedures, and/or Databricks Spark ETL processes.
- Participate in troubleshooting and resolving data pipeline issues to ensure data quality and reliability.
- Backend Integration (Nice to Have):
- Support backend development tasks related to data integration and API management, especially using .NET.
- Assist in developing and maintaining data services and applications that interface with Azure data solutions.
- Collaboration & Communication:
- Work closely with data scientists, analysts, and other engineers to understand data requirements and deliver high-quality solutions.
- Participate in code reviews, documentation, and the sharing of best practices within the team.
- Stay updated on the latest developments in Azure services and data engineering practices.
Your Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering,
or a related field. Equivalent work experience may be considered.
- Strong knowledge of SQL, including database management, query optimization, and security practices.
- Experience with Power BI in developing and maintaining reports and dashboards.
- Knowledge of Azure Storage solutions, including Blob, Table, and Data Lake Storage.
- Solid understanding of data modelling using 3NF and dimensional approaches.
- Experience developing data pipelines
- Familiarity with backend development, particularly with .NET (desirable).
- Strong problem-solving skills and attention to detail.
- Excellent communication skills, both verbal and written.
- Ability to work collaboratively in a global team environment.
Keywords:
Reference Code:131587
▶️ Data Analytics Engineer
🖊️ Swiss Re
📍 Secunderabad