Responsibilities :
- Extensive experience in ETL , shell or Python scripting , data modeling, analysis, and preparation.
- Build new end-to-end business intelligence solutions including data extraction, ETL processes to derive business insights, and visualizing data through dashboards.
- Understand business requirements and provide inputs from a data perspective.
- Comprehend the underlying data and data flow.
- Build simple to complex pipelines and dataflows.
- Implement modules with security and authorization frameworks.
- Adapt to evolving processes as the project scales in size and function.
Knowledge, Skills & Abilities :
Proficient in SQL Programming and ETL (Required).Expert-level knowledge of Azure Data Factory .Advanced knowledge of Azure SQL Database , Synapse Analytics , Power BI , SSIS , SSRS , T-SQL , and Logic Apps .Strong analytical skills to understand complex data.Experience with Azure Data Lake and Azure services like Analysis Service , SQL Databases , Azure DevOps , and CI / CD pipelines.Knowledge of master data management , data warehousing, and business intelligence architecture.Expertise in data modeling and database design with excellent knowledge of SQL Server best practices.Excellent interpersonal and communication skills (oral and written) with ability to communicate clearly at various organizational levels.Clear understanding of Data Warehouse (DW) lifecycle, including preparing design documents, unit test plans, and code review reports.Experience working in Agile environments (Scrum, Lean, Kanban) is a plus.Knowledge of Big Data technologies such as Spark Framework , NoSQL , Azure Databricks , and the Hadoop ecosystem (Hive, Impala, HDFS, YARN, Pig, Oozie) is a plus.Skills Required
Etl, Shell Scripting, Python Scripting, Data Modeling, Data Analysis, Sql Programming