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Solution Architect

Job in Raritan, Somerset County, New Jersey, 08869, USA
Listing for: The Dignify Solutions, LLC
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    Big Data, Data Engineer
Salary/Wage Range or Industry Benchmark: 75 - 80 USD Hourly USD 75.00 80.00 HOUR
Job Description & How to Apply Below

The Dignify Solutions, LLC provided pay range

This range is provided by The Dignify Solutions, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75.00/hr - $80.00/hr

  • 10+ years of strong experience in building large scale, distributed big data solutions
  • Proven track record of consistently architecting, designing, developing and/or implementing an end—to-end Big Data Lake, Business Intelligence – Tableau/Power BI/Qlik, Data Science project.
  • Solid experience in building Big Data Pipelines (Batch and NRT) on Hadoop Ecosystem including HDFS, Hive, Spark, Scala, Sqoop, Kafka, NiFi, and real time streaming technologies and host of big data open source stack. Well versed with performance tuning of compute heavy workloads.
  • Working experience in Cloudera distribution and AWS/Azure/GCP Cloud. Solid understanding of Data Quality, Data Governance and Data Security.
  • Experience in big data solutions like Impala, Oozie, Flume, Sqoop or Zoo Keeper. Proficient in Python/R, Java, Scala, Ruby or C++.
  • Experience with one of the large cloud-computing infrastructure solutions like AWS Redshift, Snowflake, SQL DW, Big Query.
  • Good experience in database and hands-on experience in big data technologies such as Hadoop/Hive/Spark/Mongo

    DB, with experience in data ingestion, data wrangling, data virtualization technologies such as Stream Sets, Trifacta, Denodo will be a big plus.
  • Strong analytical skills – ability to develop an idea into solution, define features, qualitative and quantitative analysis.
  • Knowledge of Healthcare/Pharmaceutical industry experience is an added advantage.
  • To be able to work in a fast-paced agile development environment.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

IT Services and IT Consulting

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