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About the Role" "Job Title": Data Engineer "Responsibilities": - Develop and maintain data pipelines using Python, SQL, and PySpark to ingest, transform, load data across various cloud environments, build reports. - Design data models and manage data warehousing solutions on platforms like Snowflake and SQL Server. - Implement data integration solutions across Azure based on project requirements. - Collaborate with analytics and BI teams to ensure data quality and availability for reporting tools such as Tableau and Power BI. - Employ DevOps practices using Git, CI/CD pipelines, and Docker for streamlined development, deployment, and version control. - Ensure data governance, security, and compliance across cloud and hybrid infrastructures. - Optimize performance and cost-efficiency of cloud data infrastructure and distributed processing systems. "Required Skills": - Cloud: Azure - Languages: Python, SQL, PySpark - Databases: Snowflake, SQL Server - ETL Tools: ADF - Big Data: Apache Spark, Databricks - Reporting: Tableau, Power BI - Exposure to AI/ML - DevOps: Git, CI/CD, Docker "Desirable Skills": N/A "Education Qualification": N/A.
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