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Senior Cloud Data Architect

Job Id : 5264

Jobtitle : Senior Cloud Data Architect

Location :  Malvern, PA

Company Name : Nutech Information Systems

Industry : Information Technology

Salary : $130,000 - $167,000  YEAR

Job type : Fulltime

Posted on: 2019-10-09

Required Skills : SQL On Spark SQL, HIVE, ANSI SQL, Verbal & Written Skill, RStudio

Benefits : No benefits are available

Job Description

  • Facilitate data lake development, design and architecture in the cloud
  • Designing and building technical solutions focused on Cloud-based Big Data ecosystems such as Databricks, HDI, Pig, Kafka, Hive, Spark, ADF, python, scala .etc.
  • Developing spark job, management, tuning and administration.
  • End-to-end design and build process of Near-Real Time and Batch Data Pipelines
  • Lead day to day operation activities related to Azure data services.
  • Lead data engineering effort in the cloud
  • Work with Data Scientist in evaluation, selection and integration of necessary technical components to create platforms
  • Design SQL Server data model with required indexes to meet performance expectations.
  • Troubleshoot and diagnose performance problem in SQL Server database, ADF, Spark and other data services.



  • Bachelor s Degree in Computer Science or Software Engineer or equivalent industry experience and certifications.
  • Certification in Cloudera or Hortonworks distribution or AWS/Azure Big data architect certification
  • SQL DBA certification is a plus


  • Design and architecture experience in Data bricks spark cluster
  • knowledge and experience in stream analytics, ML, AI and distributed architecture
  • Experience with Azure SQL DB, and SQL DWH, ADF pipeline, Azure storage, Kafka, Caching technologies such as Radis Cache, NoSQL such as COSMOS DB, mongodb
  • Practical experience in SQL data administration, Azure SQL DWH (MPP) specially in data modelling, database design, SQL performance tuning and troubleshooting
  • Experience with Kubernetes or container platform for data needs is a plus



  • Strong written and verbal communication skills
  • Excellent data analysis skills using SQL on Spark SQL, HIVE, ANSI SQL etc.
  • Good understanding of R, Python, Jupyter Notebook, RStudio, R Shiny, DataIKU DSS

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