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Location

Mason, OH | United States

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Job description

Lead/Sr Data Cloud Engineer (Critical, High Priority)

Location : Mason, Richmond (Onsite all 5 days)

Please DO NOT submit non-locals here. Need local candidates who are ok to be onsite all 5 days

UST Global is looking for a Sr Data Cloud Engineer to work with one of the leading healthcare providers in US. The ideal candidate may possess good background on Healthcare Business

Responsibilities

Lead data engineer and analyst to deliver data sets and analysis results as per business requirements.

Assemble large, complex data sets that meets functional/Non-Functional business requirements.

Automating manual processes, optimizing data delivery, recommending platform greater scalability/improvements

Collaborate with initiative leads to optimize and enhance new capabilities.

Mentor team in migrating Hadoop on-prem to cloud AWS and Glue

Create and maintain optimal data pipeline architecture.

Presenting analysis results/recommendations using Powerpoint

Requirements

Mandatory skills:

Hands on experience in migrating Hadoop on-prem to cloud platform, AWS, S3, Glue

Experience in analyzing data using 'Big-Data' platform Spark, Scala, Hive

Experience in analyzing data using AWS Cloud, Glue, Python, Pyspark

Strong Analytical skills in relating multiple data sets and identify patterns

Hands on experience in writing advanced SQL queries, familiarity with variety of database

Experience in building and optimizing 'Big-Data' pipelines, architecture, and data sets

Experience in Hadoop file formats like ORC, Avro, Parquet, CSV

Experience in NoSQL databases like MongoDB/document DB

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9+ yrs IT experience and good expertise in SDLC/Agile

5+ yrs in Scala, Spark, Hive

5+ yrs in programing language (Python, Bigdata)

3+ yrs in AWS, S3, Glue colud platform

Hands on experience in Big-Data, AWS, Python, Spark, Scala, MongoDB

Strong skills in writing complex SQL queries.

Hands on experience in migrating Hadoop on-prem to cloud AWS/Glue

Build and optimize 'Big-Data' pipelines, architecture, and data sets

Implement Python flex APIs to share data insights with digital systems

Desired/Preferred:

Scheduling tools like Control-M, Oozie

NoSQL databases like MongoDB/document DB

Implement Python flex APIs to share data insights to digital systems

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Job tags

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Salary