Azure Data Warehouse Developer

Job Description:

Title: Azure Data Warehouse Developer

Location: Remote

Duration: 12 months

Experience

1. 3 years of experience in the past 4 years in working with Oracle database architecture, data modeling, normalization, and performance optimization is crucial. Knowledge of Oracle PL/SQL (Procedural Language/Structured Query Language) is also essential for writing efficient database queries and stored procedures.
2. 3 years of experience in the past 4 years in working with mainframe databases like IBM DB2 and IMS (Information Management System), including data modeling, database design, and SQL querying.
3. 3 years of experience in the past 4 years in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
4. 3 years of experience in the past 4 years in working with designing and developing data warehouses using other platforms like Microsoft SQL Server, Oracle, or Teradata can be valuable in understanding data warehousing concepts and best practices.
5. 3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka can be beneficial, as they integrate with Azure Synapse Analytics and enable large-scale data processing and analytics.
6. 3 years of experience in the past 4 years in working with data visualization tools like Power BI or Cognos to create insightful visualizations and reports based on data stored in Synapse Data Warehouse.
7. 3 years of experience in the past 4 years in working with data cleansing, data profiling, and data validation techniques to ensure high data integrity in the data warehouse.

Skills

• Strong understanding of relational database concepts, SQL (Structured Query Language), and data modeling. Knowledge of various databases used in data warehousing, such as Oracle, SQL Server, PostgreSQL, or MySQL.
• Proficiency in ETL tools like Azure Data Factory, Azure Synapse, or Microsoft SSIS (SQL Server Integration Services) to extract data from various sources, transform it to fit the target schema, and load it into the data warehouse.
• Ability to design and implement data warehouse data models, including star schema, snowflake schema, and dimension hierarchies for optimized data retrieval and analysis.
• Understanding of data integration techniques and data quality processes to ensure data accuracy, consistency, and reliability in the data warehouse.
• Knowledge of data warehouse architecture principles, such as data staging areas, data marts, data lakes, and the overall data flow.
• Familiarity with data warehouse development methodologies and the ability to apply best practices in building scalable and maintainable data warehouses.
• Experience with BI tools like Power BI and IBM Cognos to create interactive and insightful dashboards and reports for business users.
• Proficiency in scripting languages like Python, Perl, or Shell scripting for automating ETL processes and data manipulation.
• Understanding of data security principles and compliance regulations to protect sensitive information in the data warehouse.
• Skills in optimizing data warehouse performance, including query optimization, index creation, and partitioning.

Skills

• Azure, IBM DB2, Azure Data Lake Storage, Azure Databricks, Azure Data Factory, Azure DevOps, PL/SQL