Job Description
10+ years of overall experience, with 78 years of relevant experience in Azure Data & Analytics. Fully conversant with big data processing approaches and schema-on-read methodologies; strong hands-on knowledge of Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Microsoft Fabric is mandatory. Strong development skills with extensive hands-on coding experience in Python (PySpark compulsory), SQL, and Power BI DAX (good to have). Experience in designing Cloud Data Warehouse solutions and working closely with Architects for end-to-end implementation design of ETL / ELT pipelines. Proven experience in implementing robust ETL / ELT pipelines using Azure Data Factory / Azure Synapse Pipelines, including error handling, performance optimization, and identification of performance bottlenecks. Knowledge of designing Reporting / Semantic framework layers to support Power BI / Tableau reporting and analytics.
10+
10+ years of overall experience, with 7–8 years of relevant experience in Azure Data & Analytics. Fully conversant with big data processing approaches and schema-on-read methodologies; strong hands-on knowledge of Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Microsoft Fabric is mandatory. Strong development skills with extensive hands-on coding experience in Python (PySpark – compulsory), SQL, and Power BI DAX (good to have). Experience in designing Cloud Data Warehouse solutions and working closely with Architects for end-to-end implementation design of ETL / ELT pipelines. Proven experience in implementing robust ETL / ELT pipelines using Azure Data Factory / Azure Synapse Pipelines, including error handling, performance optimization, and identification of performance bottlenecks. Knowledge of designing Reporting / Semantic framework layers to support Power BI / Tableau reporting and analytics.
10+
10+ years of overall experience, with 7–8 years of relevant experience in Azure Data & Analytics. Fully conversant with big data processing approaches and schema-on-read methodologies; strong hands-on knowledge of Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Microsoft Fabric is mandatory. Strong development skills with extensive hands-on coding experience in Python (PySpark – compulsory), SQL, and Power BI DAX (good to have). Experience in designing Cloud Data Warehouse solutions and working closely with Architects for end-to-end implementation design of ETL / ELT pipelines. Proven experience in implementing robust ETL / ELT pipelines using Azure Data Factory / Azure Synapse Pipelines, including error handling, performance optimization, and identification of performance bottlenecks. Knowledge of designing Reporting / Semantic framework layers to support Power BI / Tableau reporting and analytics.
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