• Good understanding of SDLC.
• Experience with Agile or iterative development methodologies is a plus.
• Prior experience in Healthcare Analytics domain is a plus.
Technical:
• Minimum 3+ years of hands-on experience in Big Data. Fluent in big data engineering development using the Hadoop/Spark ecosystem.
• Hands-on project experience with Cloudera Data Platform
• Data ingestion and integration into the Data Lake using the Hadoop ecosystem tools such as Sqoop, Spark, Impala, Hive, Oozie, Airflow etc.
• Candidates should be fluent in the Python / Scala language
• Developing the Data ingestion and integration flows in Hive, Spark and Impala
• Creating the Hive Data structure, metadata and loading the data into Data Lake/Big Data warehouse environment
• Building the data pipeline to migrate and load the data into the Hadoop distributed file system either on-prem or in the cloud
• Good Communication and Collaboration skills.
• Ability to understand complex concepts and processes quickly.
• Good time management and organizational skills.
• Ability to work independently and use good judgment.
• Experience in Unit Testing.
• Good understanding of Software Configuration Management tools (e.g., GIT).
Soft Skills:
• Good communication, interpersonal and problem-solving skills.
Accountability and Responsibility
Expected:
• Work closely with Leads on the assigned modules.
• Support in debugging production issues.
• Documenting work/procedures in accordance with the agreed standards.
• Deliver high quality code to QA team.
• Participate in peer reviews.
• Maintain standards documents.
• Help in build/release activities.
Other contribution:
• Participate in organization activities.
IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com