Data Engineer with Scala and Spark
Job Location:
New York City, NY - USA
Monthly Salary:
Not provided by the employer
Posted:
30 June 2026 (30+ days ago)
Application Deadline:
27 September 2026
Vacancies:
1 Vacancy
Job Summary
Position: Data Engineer with Scala & Spark
Location: NYC NY
Location: NYC NY
Duration: 12 Months
We need Data engineering Scala Snowflake and Data modeling for this role.
Need only resources who can do scala coding.
Job Description:
12 to 20 years experience in data analysis data objects development and modeling in Snowflake data store.
Snowflake REST API experience is required: Account API Alert API Artifact Repository API Catalog Integration API Cortex Inference API Database API Dynamic Table API Event Table API Iceberg Table API Notebook API
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Strong data modelling concepts and schema design on relational data store and on cloud data store
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Strong data modelling concepts and schema design on relational data store and on cloud data store
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required