Summary We are seeking a highly skilled Data Engineer with hands-on experience in SQL PySpark Databricks Snowflake and CI CD processes The ideal candidate will be responsible for designing developing and maintaining scalable data pipelines and infrastructure to support our data analytics and business intelligence needs You will work closely with data scientists analysts and Novartis internal customers CPOs Regional marketing and sales teams to ensure the productive processing and delivery of high-quality data Key Responsibilities Design develop and optimize data pipelines using Python PySpark and Snowflake to process and analyze large datasets Write complex SQL queries for data extraction transformation and loading ETL from multiple often complex data sources ensuring consistency and accessibility across platforms Work with Databricks to build and maintain collaborative and scalable data solutions Implement and manage CI CD processes for data pipeline deployments to ensure seamless and efficient integration and deployment Create and optimize data models that structure raw data into clean organized formats suitable for business analysis and reporting Implement and manage CI CD processes for data pipeline deployments to ensure seamless and efficient integration and deployment Work closely with data scientists analysts and business stakeholders to understand data needs support data-driven projects and enhance data accessibility Implement data security protocols and ensure compliance with regulations e g GDPR HIPAA to protect sensitive information Ensure projects are delivered on schedule and within established timelines Aid in the creation and maintenance of Standard Operating Procedures SOPs Maintain clear documentation of data workflows schemas and data infrastructure ensuring best practices are followed and enabling knowledge sharing within the team Education minimum desirable Masters PhD in Computer Sciences IT or other quantitative sciences Experience Skills 7 year
📌 Data Engineering Manager (Hyderabad)
🏢 Novartis
📍 Hyderabad
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