Software Engineer - Database
at Valgenesis
Chennai, onsite, mid, full time, 2–5 years
posted 24 May 2024
- C#
- ADF
- PostgreSQL
- SSRS
- SVN
- SSIS
- JIRA
- SQL
- Azure Data Warehousing
- GIT
- New Relic
- MS SQL Server
- ASP.NET
- Azure Data Lake
- Dynatrace
- Apache Superset
About the role
We are looking for an experienced database developer who could join our engineering team to build the enterprise applications for our global customers. If you are a technology enthusiast and have passion to develop enterprise cloud products with quality, security, and performance, we are eager to discuss with you about the potential role.
What you would do
- 1. Database Development:
- Utilize expertise in MS SQL server, PostgreSQL to design and develop efficient and scalable database solutions.
- Collaborate with development stakeholders to understand and implement database requirements.
- Write and optimize complex SQL queries, stored procedures, and functions.
- Database tuning & configurations of servers
- Knowledge on both Cloud & on-premises database
- Knowledge of SaaS based applications development
- 2. ETL Integration:
- Leverage experience with ETL tools such as ADF and SSIS to facilitate seamless data migration.
- Design and implement data extraction, transformation, and loading processes.
- Ensure data integrity during the ETL process and troubleshoot any issues that may arise.
- 3. Data Warehousing:
- Work with Azure Data Lake & Azure data warehousing, including data extraction, transformation, and loading.
- Contribute to the design and maintenance of scalable data warehousing solutions.
- Extraction of huge data for integration of reporting tools like Apache Superset
- 4. Reporting:
- Develop and maintain SSRS reports based on customer needs.
- Collaborate with stakeholders to understand reporting requirements and implement effective solutions.
- 5. Performance Tuning:
- Production database performance analysis using Dynatrace, New Relic or similar tools.
- Analyze query performance and implement tuning strategies to optimize database performance.
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