Cynet Systems
Azure Database Developer
Cynet Systems, Atlanta, Georgia, United States, 30383
Job Description:
Responsibilities:
Collaborate with internal customers, prospects, and stakeholders, understand, and translate business use cases and requirements into data analysis and data mapping and consequently data integration routines which involve moving, cleansing, and transforming a large amount of data between multiple systems.Identifies data sources, provides data flow diagrams, and documents sources to target mapping and process.Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports.Provide technical enablement to team members developing database applications on a cloud platform.Facilitate the development of data integration efforts by leading small teams of 1-2 junior developers in addition to Knowledge of ETL Design Patterns, Error Handling and Configurations.Design, implement, and maintain database objects (tables, views, indexes, etc.) and database security.Collaborate with data stewards, data owners, and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation.Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning, etc.Work with the Data Architect to establish processes for governing the identification, collection, and use of educational metadata to ensure metadata is accurate and valid in the business intelligence environments.Ensure data quality through the creation of audit controls, proactive monitoring, and data cleansing techniques.Troubleshoot performance and reliability issues and investigate anomalous behavior in the Azure environment.Responsible for scheduled data process integrity checks, performing deployments, and coordinating releases.Experience with Source Version Control software like GitHub and CICD pipelinesProvide on-call support after hours as and when needed.Requirements:
7+ years of experience in Data Warehousing and Business Intelligence.5+ Years in BI development leveraging the Microsoft SQL Server. Needs to be an expert in T-SQL.5+ Years in SSIS and use of Stored Procedures.1-2 Years in Azure Data Factory, SQL VMs, building and maintaining ETL.Ingest and aggregate data from both internal and external data sources to build our data lake.Strong understanding of data modeling (i.e., conceptual, logical, and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).Deep understanding of relational database design concepts and SQL programmingExperience guiding/mentoring developers with lesser experience.Requires strong analytical, conceptual, and problem-solving abilities.Strong experience with business intelligence and data warehousing design principles and industry best practices.Good to Have:
1-2 Years in Azure Data Warehouse (Synapse).1-2 Years of knowledge of utilizing Python, PySpark, and SparkSQL On Azure CloudQualifications:
Bachelor's degree from an accredited college or university with coursework in computer science or management information systems AND 5 years of related experience.
Responsibilities:
Collaborate with internal customers, prospects, and stakeholders, understand, and translate business use cases and requirements into data analysis and data mapping and consequently data integration routines which involve moving, cleansing, and transforming a large amount of data between multiple systems.Identifies data sources, provides data flow diagrams, and documents sources to target mapping and process.Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports.Provide technical enablement to team members developing database applications on a cloud platform.Facilitate the development of data integration efforts by leading small teams of 1-2 junior developers in addition to Knowledge of ETL Design Patterns, Error Handling and Configurations.Design, implement, and maintain database objects (tables, views, indexes, etc.) and database security.Collaborate with data stewards, data owners, and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation.Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning, etc.Work with the Data Architect to establish processes for governing the identification, collection, and use of educational metadata to ensure metadata is accurate and valid in the business intelligence environments.Ensure data quality through the creation of audit controls, proactive monitoring, and data cleansing techniques.Troubleshoot performance and reliability issues and investigate anomalous behavior in the Azure environment.Responsible for scheduled data process integrity checks, performing deployments, and coordinating releases.Experience with Source Version Control software like GitHub and CICD pipelinesProvide on-call support after hours as and when needed.Requirements:
7+ years of experience in Data Warehousing and Business Intelligence.5+ Years in BI development leveraging the Microsoft SQL Server. Needs to be an expert in T-SQL.5+ Years in SSIS and use of Stored Procedures.1-2 Years in Azure Data Factory, SQL VMs, building and maintaining ETL.Ingest and aggregate data from both internal and external data sources to build our data lake.Strong understanding of data modeling (i.e., conceptual, logical, and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).Deep understanding of relational database design concepts and SQL programmingExperience guiding/mentoring developers with lesser experience.Requires strong analytical, conceptual, and problem-solving abilities.Strong experience with business intelligence and data warehousing design principles and industry best practices.Good to Have:
1-2 Years in Azure Data Warehouse (Synapse).1-2 Years of knowledge of utilizing Python, PySpark, and SparkSQL On Azure CloudQualifications:
Bachelor's degree from an accredited college or university with coursework in computer science or management information systems AND 5 years of related experience.