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Scala Developer Location: NYC, NY (Remote)

ProCorp Systems Inc.United States🇺🇸United StatesPosted 8 Jul 2026

Why This Role Stands Out

This remote Scala Developer role at ProCorp Systems Inc. offers a fantastic opportunity to deepen your technical expertise and contribute to impactful projects. If you're a mid-senior Scala developer with strong database knowledge, you'll thrive in this dynamic environment. Apply today to explore this exciting career advancement!

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Position: Scala Developer

Location: NYC, NY (Remote)

Duration; 12 Months

 

we were looking for a more hands-on person with strong in-depth knowledge on Scala and more database knowledge

Key Qualifications:

·        Proficiency in Scala

·        Moderate Java Experience is required

·        Experience with SQL and NoSQL databases (Teradata, PostgreSQL, MongoDB)

·        Expertise in ETL pipeline development and data warehousing (Snowflake, Redshift)

·        Familiarity with cloud infrastructure Azure

·        Experience with Apache Spark, Kafka, Databricks, and Airflow

·        These roles provide an excellent opportunity to learn, grow, and work with leading technology in a fast-paced, innovative environment.

·        Strong experience in Scala & Apache Spark (Spark Core, Spark SQL, DataFrames, RDDs)

·        Proficiency in Python for data processing, scripting, and automation

·        Experience with large-scale distributed data processing

·        Strong ETL, Data Warehousing, and Data Modeling experience

·        Performance tuning, partitioning, and optimization of Spark applications

·        Experience with structured and unstructured data processing

·        Hadoop, Hive, Kafka, HBase

·        AWS, Azure, or Google Cloud Platform

·        Spark Streaming / Structured Streaming

·        Data Governance, Security & Compliance

·        Exposure to Machine Learning workflows

 

 

 

Skills

MongoDB
SQL
Scala
AWS
ETL
Machine Learning
Snowflake
Airflow
Apache
Apache Spark
Azure
Databricks
Google Cloud
Hadoop
Hive
Java
Kafka
PostgreSQL
Python
Redshift

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