Minimum 6+ years of experience working as a Data Engineer is a must have.
Experience working with data management teams supporting Pharma field operations is required.
Experience in data-centric implementations such as SFA/CRM and Business Intelligence Tools.
3+ years of experience with data warehouse, Master Data Management (MDM), and data integration initiatives.
3+ years of experience building ETL/ELT solutions using data integration tools such as Azure Data Factory, Azure Functions, Logic Apps, Databricks & Snowflake.
Proficiency in Snowflake data warehousing.
Prior knowledge of best practices in SDLC and use of source control management tool preferably Azure DevOps to GitHub integration is highly desired.
Strong organizational skills.
Experience working in a production environment for multiple clients in a compliance industry.
Ability to work in a team through implementing and adopting a data management framework.
Ability to translate customer needs into technical requirements.
Advanced written and spoken English fluency along with strong verbal and written communication skills.
Detail-oriented and analytical with planning and organizational skills.
Excellent interpersonal skills.
Specific knowledge of client business and technology/data operations in the pharmaceutical industry.
Skill in troubleshooting and problem-solving.
Ability to work in an environment that is driven by process governance.
Responsibilities:
Works independently to process information by loading / extraction of data.
Designs and develops a large-scale data lake managing data flows including but not limited to Veeva/Salesforce and various sources into a common customer data hub.
Orchestrates data pipelines to extract, transform, and load CRM data and create templatized data solutions to provide data to downstream teams, such as Sales Analytics, Incentive Compensation, and Data Science teams.
Performs quality control functions on all deliverables, including standard deliverables, ad hoc loading and extraction projects.
Develops and maintains project documentation, including work instructions for all repeatable tasks.
Provides feedback on the design of new integration initiatives.
Meets clients to establish, monitor, and review deliverables.
Engages with clients to facilitate data management services related to project delivery schedule.