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Assistant Manager, Pharma-Data Engineering-Data Analyst
4 months ago
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Assistant Manager, Pharma-Data Engineering-Data Analyst - ETL
We are looking for Data Engineering /ETL Consultant who would be responsible to design the Data Warehousing Architecture/solution considering security governance, application hosting, data management, high availability for a life sciences account. He/She will be responsible to collaborate with Data Scientists, BI developers, and data analysts to manage data processes. Cross and merge the barriers that exist between development, testing, operations teams, and keep existing infrastructure in mind as they design, plan and test.
Responsibilities
• Work with large data sets and proficient using of Analytical functions.
• Perform development role in Data Bricks, Python & Snowflake.
• Work with multiple source systems like - On premises, cloud, big data, real time, online, etc.
• Build new ETL workflows or manage existing periodic refreshes.
Qualifications we seek in you
Minimum Qualifications / Skills
• Bachelor’s degree in Engineering discipline or equivalent
Preferred Qualifications/ Skills
• Good knowledge of Data integration, data storage and data processing solutions like spark, Databricks, Kafka etc.
• Pharma commercial analytics domain knowledge is mandatory.
• Data Warehousing experience with implementation of ETL solutions using Data Bricks, Python & Snowflake.
• Good understanding on writing shell scripts.
• Should be able to understand requirements analysis then, build and deliver the solution.
• Excellent Analytical, Problem Solving and Communication Skills
• Worked with large data sets and proficient using of Analytical functions.
• Experience with systems scripting languages: Batch Scripts, PowerShell.
• Knowledge of distributed architecture and systems.
• Excellent Analytical, Problem Solving and Communication Skills
• Data Bricks certified is a plus.