Dataiku / Snowflake Analyst - 0123 SS #1

Job Description

Job DescriptionJob 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