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Inviting applications for the role of Lead Consultant, AWS
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
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
Qualifications / Minimum qualifications :
B. Tech or Equivalent Degree
Preferred Qualifications :
Has experience in AWS S3, Athena, Glue, EMR, DynamoDB, Redshift, Kinesis, Lambda, Snowflake. Overall Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB
ETL design and development
SQL queries, Data migration
Bengaluru, Karnataka (Preferred)