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Job Description

Description :



Job Summary :


We are seeking a highly skilled Data Engineer with expertise in leveraging Data Lake architecture and the Azure cloud platform to develop, deploy, and optimize data-driven solutions. You will play a pivotal role in transforming raw data into actionable insights, supporting strategic decision-making across the organization.



Key Responsibilities :



- Develop and optimize scalable data pipelines using Python and PySpark


- Build and orchestrate data workflows with Azure Data Factory


- Design and implement solutions using Azure Databricks and Synapse Analytics


- Manage and maintain data storage solutions in Azure Data Lake Storage Gen2, leveraging cost-efficient architecture


- Implement and manage CI/CD pipelines using Azure Logic Apps, with integration of tools such as Azure DevOps, GitHub Actions, or Jenkins


- Model and maintain Medallion Architecture across Bronze, Silver, and gold layers based on business requirements


- Collaborate with data scientists, analysts, and business stakeholders to ensure reliable data availability


- Monitor and optimize performance and cost efficiency of data solutions across the ecosystem



Required Skills & Experience :



- Strong proficiency in Python and PySpark for data manipulation and transformation


- Hands-on experience with Azure Data Factory, Azure Databricks, and Synapse Analytics


- Familiarity with Azure Logic Apps for CI/CD pipeline management


- Knowledge of CI/CD tools such as :


i. Azure DevOps Pipelines


ii. GitHub Actions


iii. Jenkins


- Expertise in managing Azure Data Lake Storage Gen2 environments with emphasis on security and cost optimization


- Deep understanding of Medallion Architecture principles :


i. Bronze Layer : Raw data ingestion


ii. Silver Layer : Cleansed, enriched, and business-ready data


iii. Gold Layer : Aggregated and analytics-ready data models


- Strong problem-solving and communication skills


- Experience on Cost optimization


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