Proven experience in ETL, shell or Python scripting, data modeling, and analysis.
Strong proficiency in SQL programming and ETL tools.
Expertise in Azure Data Factory, Azure SQL Database, and Synapse Analytics.
Knowledge of data warehousing, business intelligence architecture, and related Azure services.
Requirements:
Develop end-to-end business intelligence solutions including data extraction and dashboards.
Understand and analyze business requirements from a data perspective.
Build and optimize data pipelines and workflows, ensuring security and authorization.
Adapt to evolving processes and contribute to design and testing documentation.
Job description
Hello!!
Greetings from Coders Brain .
Company: Coders Brain Technology Pvt. Ltd.
Location: Remote
Experience: 6 years to 11 years
Notice Period: Immediate joiner
Kindly find the JD attached below.
:
Roles & Responsibilities :
Extensive experience in ETL, shell or python scripting, data modelling, analysis, and preparation.
• Build new endtoend business intelligence solutions data extraction, ETL processes applied on data to derive useful business insights, and best representing this data through dashboards.
Understand business requirement and actively provide inputs from Data perspective
Understand the underlying data and flow of data.
Build simple to complex pipelines & dataflows.
Should be able to implement modules that have security and authorization frameworks.
Recognize and adapt to the changes in processes as the project evolves in size and function.
Knowledge, Skills & Abilities :
• SQL Programming and ETL (Required)
Expert level knowledge on Azure Data Factory
Advance knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, TSQL, Logic Apps
Should be able to analyze and understand complex data
Knowledge of Azure data lake is required and Azure Services like Analysis Service, SQL Databases, Azure DevOps, CICD is a must.
Knowledge of master data management, data warehousing and business intelligence architecture.
Experience in data modeling and database design with excellent knowledge of SQL Server best practices.
Excellent interpersonalcommunication skills (both oralwritten) with the ability to communicate at various levels with clarity & precision.
Should have a clear understanding of DW lifecycle and contribute in preparing Design documents, Unit Test plans, Code review reports.
Experience working in Agile environment (Scrum, Lean, Kanban) is a plus
Knowledge of Big data technologies Spark Framework, NoSQL, Azure Data Bricks and Hadoop Ecosystem Hive, Impala, HDFS, YARN, Pig, Oozie is a plus.
