We are looking for a skilled SQL Developer with expertise in building and optimizing Views to support data integration efforts from multiple sources, including databases, data warehouses, and data lakes. You will play a critical role in ensuring seamless access to data for analytics and reporting by creating performant, well-organized Views that can be leveraged by downstream users and applications.
Key Responsibilities - View Creation and Optimization : Design and develop SQL Views to integrate data from various sources, such as transactional databases, data warehouses, and data lakes. Optimize Views for performance and ensure they meet business requirements.
- Data Modeling : Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and structure Views that support business intelligence, analytics, and operational needs.
- Data Source Integration : Work with data from multiple sources including relational databases like SQL Server, Oracle, etc., data warehouses, and data lakes (Azure Data Lake).
- Query Performance Tuning : Analyze and enhance SQL queries to improve performance, ensuring that Views are efficient, scalable, and align with best practices.
- Documentation : Document the structure and logic of Views, including table relationships, transformations, and dependencies, to support maintainability and knowledge sharing.
- Data Mapping : Try to establish the source and target data mappings, to ensure the support needed for building Data lineage and to support development of data transformation pipelines.
- Data Quality Assurance : Validate data consistency, accuracy, and completeness within Views and troubleshoot issues related to data integrity across sources.
- Collaboration : Work closely with data architects, data engineers, ETL developers, BI teams and Business Users to provide data accessibility while adhering to governance and data security policies.
Required Qualifications - Experience : 5+ years as a SQL Developer, Data Engineer, or in a similar role focused on data integration and transformation.
- SQL Proficiency : Advanced knowledge of SQL and proven experience in writing complex queries, stored procedures, and Views.
- Data Source Familiarity : Experience working with various data platforms such as SQL Server, Oracle, and Azure Data Lake.
- Performance Tuning : Knowledge of query optimization and indexing strategies to enhance View performance.
- Data Integration : Familiarity with ETL/ELT processes, data pipelines, and tools for data integration, such as SSIS, ADF etc.
- Analytical Skills : Strong analytical and problem-solving skills with attention to detail in data quality and integrity.
- Communication : Ability to translate technical requirements into user-friendly, efficient Views and collaborate with cross-functional teams.
Preferred Qualifications - Familiarity with Databricks
- Familiarity with Azure Cloud Services.
- Knowledge of data governance, security, and compliance principles.