Data Warehouse Developer
4 weeks ago
At Bytes Software Services, we are seeking an experienced Data Warehouse Developer to join our team. As a Data Warehouse Developer, you will be responsible for designing, developing, and optimizing data warehousing solutions. You will work closely with our internal development teams to ensure data integrity, performance, and availability of the Data Warehouse environment for reporting and analysis purposes.
Key Responsibilities:
- Design, develop, and maintain data warehouses.
- Design and implement data warehouse architectures that support enterprise reporting, analytics, and business intelligence.
- Develop, optimize, and manage ETL (Extract, Transform, Load) processes to integrate data from multiple sources into the data warehouse.
- Create and manage data models, schemas, and dimensional models (e.g., star, snowflake schemas) for efficient data storage and retrieval.
- Work with relational databases such as SQL Server, Oracle, PostgreSQL, and integrate data from diverse sources such as flat files, APIs, or cloud services.
- Write complex SQL queries and stored procedures to transform raw data into structured formats for reporting and analysis.
- Implement and support ETL pipelines using tools such as SSIS, Informatica, or Azure Data Factory.
- Ensure the accuracy, consistency, and reliability of data across the warehouse.
- Develop and implement data validation, cleansing, and transformation processes to ensure high data quality.
- Support data governance initiatives by documenting data structures, data flows, and maintaining metadata.
- Exposure to Data Lake environments such as Azure Data Lake, AWS S3, or Google Cloud Storage to support semi-structured and unstructured data ingestion.
- Monitor and troubleshoot data warehouse performance, optimizing for query efficiency and storage.
- Collaborate with the Infra/Support team to ensure data systems are highly available, scalable, and secure.
Requirements:
- Bachelor's degree in computer science, Information Systems, or related field.
- 3-5 years of experience in Data Warehouse development, design, and management.
- Exposure to data lake technologies and an understanding of their use in data management and architecture.
- Experience with cloud-based data platforms such as Azure Synapse Analytics, AWS Redshift, or Google BigQuery is a plus.
- Familiarity with data warehousing methodologies, dimensional modelling, and schema design.
- Strong SQL programming skills, including writing complex queries, stored procedures, and query performance tuning.
- Proficiency with SQL and relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
- Experience working in an Agile environment with DevOps practices and CI/CD pipeline management for data integration.
- Experience in cloud migration or hybrid data architectures combining on-premise and cloud data solutions.
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