Lead Consultant – AWS 53 views

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Inviting applications for the role of Lead Consultant, AWS

Role:

  • An independent AWS Cloud Technical Consultant who can work independently being part of KTLO & Enhancements team for various commercial pharma data warehouse
  • Work closely with Onshore Technical Architect, Offshore Delivery Lead, Business users, IT leadership, developers, database administrators, and client vendors to run the KTLO & enhancements of DWH for one of our key North America Pharma client

Responsibilities:

Required Skills:

  • Excellent knowledge on AWS Cloud platform as a whole and the integrations among different Cloud components and using one or more of AWS data and analytics services in combination with Spark, EMR, DynamoDB, RedShift, Athena, Lambda, Glue, Snowflake
  • Design and build production data pipelines from ingestion to consumption within a big data architecture, using any programming language like Java, Python, Scala
  • Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming
  • Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.
  • Should have good experience in database, datawarehouse concepts, SCD1, SDC2, SQLs
  • Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
  • Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena
  • Working closely with team members to drive real-time and batch model implementations for monitoring and alerting of risk systems.
  • Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  • Data modeling, diverse schema mid-high knowledge should be useful to pick-up other ETL tools on-demand
  • Decent knowledge in usage, accessing of ServiceNow, Infa support, share point.
  • Experience in life sciences/healthcare domain
  • Demonstrated communication and presentation skills (both oral and written) in addition to strong project management skills
  • Ability to work on several projects simultaneously and under challenging timelines
  • Flexible timing and working experience with offshore-onshore model

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