Azure Data Warehouse Developer - Remote - Contract - TalentBurst, Inc.
Irvine, CA
About the Job
Job Title: Azure Data Warehouse Developer
Location: Remote, Downey, CA, 90242
Duration:12 Months
Only w2 Acceptable
Position Description:
Location: Remote, Downey, CA, 90242
Duration:12 Months
Only w2 Acceptable
Position Description:
- A Senior Programmer is responsible for leading and/or working on the most complex IT applications design, documentation, development, modification, testing, installation, implementation and support of new or existing applications software. This classification may also plan, install, configure, test, implement and manage a systems environment in support of an organization's IT architecture and business needs. Common organizational or functional industry position titles for programmers include but are not limited to programmer analyst, applications developer, software engineer, software developer, software quality assurance specialist, systems programmer, systems software programmer, database administrators, computer systems analysts, systems engineer, systems software engineer.
- The Senior Programmer, in development of applications software, is responsible for analyzing and refining systems requirements; translating systems requirements into applications prototypes; planning and designing systems architecture; writing, debugging and maintaining code; determining and designing applications architecture; determining output media/formats; designing user interfaces; working with customers to test applications; assuring software and systems quality and functionality; integrating hardware and software components; writing and maintaining program documentation; evaluating new applications software technologies; and/or ensuring the rigorous application of information security/information assurance policies, principles and practices to the delivery of application software services. The Senior Programmer, in development of operating systems, is responsible for analyzing systems requirements in response to business requirements, risks and costs; evaluating, selecting, verifying and validating the systems software environment; evaluating, selecting and installing compilers, assemblers and utilities; integrating hardware and software components within the systems environment; monitoring and fine-tuning performance of the systems environment; evaluating new systems engineering technologies and their effect on the operating environment; and/or ensuring that information security/information assurance policies, principles and practices are an integral element of the operating environment.
- The Senior Programmer will possess knowledge and experience in applications software development principles and methods sufficient to participate in the design, development, testing and implementation of new or modified applications software; operating systems installation and configuration procedures; organization's operational environment; software design principles, methods and approaches; principles, methods and procedures for designing, developing, optimizing and integrating new and/or reusable systems components; pertinent government regulations; infrastructure requirements, such as bandwidth and server sizing; database management principles and methodologies, including data structures, data modeling, data warehousing and transaction processing; functionality and operability of the current operating environment; systems engineering concepts and factors such as structured design, supportability, survivability, reliability, scalability and maintainability; optimization concepts and methods; establish and maintain cooperative working relationships with those contacted in the course of the work; and speak and write effectively and prepare effective reports.
- 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.
- 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.
- This classification must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming. At least four (4) years of that experience must have been in a lead capacity.
- 3 years of experience in the past 4 years in working with Oracle database architecture, data modeling, normalization, and performance optimization. 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 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 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.
- This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
- A Bachelor's or master's degree in computer science.
- The candidate must have a live scan and background check performed by Probatio
Source : TalentBurst, Inc.
