More jobs:
Dataiku/Snowflake Analyst - SS
Job in
New York City, Richmond County, New York, USA
Listed on 2026-01-27
Listing for:
NavitasPartners
Full Time
position Listed on 2026-01-27
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing, Data Analyst
Job Description & How to Apply Below
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
- BE /
B.Tech / MCA - Strong written and verbal communication 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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