Job Location: Bengaluru, Karnataka, India

Preferred Qualifications/Expertise

 Experience with relational SQL and NoSQL databases, including AWS Redshift

 Experience with AWS cloud services Preferable: S3, Lambda, Glue, Redshift

 Experience with stream-processing systems: Storm, Spark-Streaming, etc.

 Experience with object-oriented/object function scripting languages: Python,

Java, R, C++ Scala, etc.

 Experience working on Medical/ Sales/ RWE data sources. For e.g. APLD,

Premier, Flatiron, Optum, IBM Marketscan (Truven)

 Latest relevant certification courses would be a bonus

 Strong analytical skills coupled with an ability to think strategically in an

ambiguous environment

Required Skills :-



4-6 years of in-depth hands-on experience in data warehousing Redshift or any

OLAP to  support business/data analytics, business intelligence (BI). Experience

with Redshift and OLAP systems is must along with GLUE pipeline skills

 Advanced working SQL knowledge and experience working with relational

databases, query authoring (SQL) as well as working familiarity with a variety of

databases and Cloud Data warehouse like Redshift

 Data Model development, additional Dims and Facts creation and creating views

and procedures, enable programmability to facilitate Automation

 Prior Data Modelling, OLAP cube modelling in SQL Server, SSAS and Power BI

experience

 Data compression into PARQUET to improve processing and finetuning SQL

programming skills required

 Experience of building and optimizing “big data” data pipelines, architectures and

data sets

 Experience of performing root cause analysis on internal and external data and

processes to answer specific business questions and identify opportunities for

improvement

 Strong analytic skills related to working with structured and unstructured datasets

 Experience with manipulating, processing, and extracting value from large

unrelated datasets

 Working knowledge of message queuing, stream processing, and highly scalable

“big data” stores

 Experience of collaborating with cross functional teams including external

consultants, globalIDS and analytics teams

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