Data Engineer - Scalable Pipelines & Data Modeling

Digipulse Technologies, Inc.; Cherry Hill Township, Northern (NJ, KY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Digipulse Technologies, Inc. is seeking a data engineering specialist to design, develop, and maintain scalable data pipelines and ETL processes for the company's data infrastructure.

The role involves collaborating with stakeholders, modeling data for analytics, ensuring data quality, and documenting best practices. Relocation/telecommuting may be required with travel to client locations in the United States.

Qualifications

• Design, develop and maintain scalable data pipelines and data sets.
• Collaborate with stakeholders to understand data requirements and deliver ETL processes.
• Ensure data integrity, quality and performance across systems.

Responsibilities

• Develop ETL processes to transform raw data for analysis.
• Design data models to support analytics and reporting needs.
• Document pipelines and best practices for knowledge sharing.
• Identify and resolve data quality and performance issues.
• Work with business analysts and software engineers to meet data needs.
• Travel to client locations within the United States for assignments.

Education

Master’s degree in computer science or related field

Bachelor’s degree with 5+ years of experience in related fields

Tools

SQL

SAS

Python

Hive

Tableau

GitHub

Jira

MySQL

Oracle

PL/SQL

MongoDB

Informatica ETL

AWS

Databricks

Azure Data Factory

Apache-Airflow

Flask

Docker

Kubernetes

Jenkins

Splunk

Snowflake

Google Analytics

Job description

Digipulse Technologies, Inc. is seeking a data engineering specialist to design, develop, and maintain scalable data pipelines and ETL processes for the company's data infrastructure.

The role involves collaborating with stakeholders, modeling data for analytics, ensuring data quality, and documenting best practices. Relocation/telecommuting may be required with travel to client locations in the United States.