CloudBC Labs
Position : Lead/Sr Data Cloud Engineer
Location : Mason, OH/Richmond, VA (Fully Onsite) (Only Local candidates)
Term : Only W2 Role
Job Description :
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 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 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 cloud 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
Location : Mason, OH/Richmond, VA (Fully Onsite) (Only Local candidates)
Term : Only W2 Role
Job Description :
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 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 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 cloud 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