Dataiku / Snowflake Analyst - 0123 SS #1


Healthcare - NYC - New York City, NY
New York, New York
Locations: New York, Elizabeth, Newark, Yonkers
Posted On: January 23, 2026
Last Day to Apply: February 06, 2026
Pay: From $50.00 per hour

Job Title: Dataiku / Snowflake Analyst

Location: NYC, NY
Duration: 6–12 Months
Rate: $50


Job Summary

We are seeking a Dataiku / Snowflake Analyst responsible for designing, developing, testing, and delivering high-quality data solutions. This role requires strong hands-on experience with Snowflake, cloud platforms, and modern data pipelines, along with the ability to quickly learn new technologies and contribute to enterprise-scale analytics solutions.


Key Responsibilities

  • Architect and implement large-scale data intelligence solutions using Snowflake Data Warehouse

  • Design, build, automate, and maintain modern data pipelines in cloud environments

  • Develop and test data workflows; clearly document implementations, requirements, and test cases

  • Provide flexible and scalable solutions to complex business problems

  • Contribute to the evolution of data architecture to improve flexibility and usability

  • Follow established development processes, standards, and best practices

  • Conduct code reviews and mentor other developers

  • Troubleshoot and resolve production issues

  • Stay current with emerging technologies and recommend improvements where appropriate


Minimum Qualifications

  • BE / B.Tech / MCA

  • Strong written and verbal communication skills


Preferred Qualifications & Skills

  • Proven experience designing and implementing production-grade, large-scale data solutions on Snowflake

  • Hands-on experience with AWS and/or Azure

  • Experience building ETL pipelines using Python and Snowflake SnowSQL

  • Strong SQL development experience on Snowflake

  • Hands-on experience building productionized data ingestion and processing pipelines using:

    • Java

    • Spark

    • Scala

    • Python

  • Experience with enterprise data warehousing platforms such as Teradata, Oracle, or DB2

  • Knowledge of backup, recovery, and restoration of data and database systems

  • Ability to create field enablement and technical documentation to support analytics integration across on-prem and cloud data lake architectures

  • Strong presentation and stakeholder communication skills

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