Data Engineer

  • Raleigh, NC
  • Posted 4 hours ago | Updated 4 hours ago

Overview

On Site
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Data Engineer
PL/SQL
DB2
ETL
Python
Scala
AWS
Azure Data Factory
Data Lake
Synapse
Databricks
Cloud
Power B
Optimization
Extract
Transform
Load
IBM DB2
Microsoft Azure
Microsoft Power BI
Performance Tuning
Data Architecture
Data Engineering
Data Processing
Extraction
Query Optimization
Amazon Web Services
Analytics
SQL Azure
Salesforce.com
Scripting
Business Intelligence
Cloud Computing
Data Loading
RTR
Workflow
Writing
Reporting
SQL
Snow Flake Schema
Storage
Training
Transact-SQL

Job Details

Job ID: NC-777857

Hybrid/Local Data Engineer (15+) with PL/SQL, DB2, ETL, Python/Scala, AWS/Azure Data Factory/Data Lake/Synapse/Databricks, Cloud, Power BI experience

Location: Raleigh, NC (NCDHHS-NCFAST)
Duration: 12 Months
Position: 1 (1)

Skills:
Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows Required 3 Years
Programming Languages: Strong proficiency in Python or Scala for data processing. Required 3 Years
SQL Mastery: Advanced query writing, performance tuning, and optimization. Required 5 Years
Hands-on experience in developing efficient PL/SQL procedures Required 5 Years
Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) Required 1 Years
Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database) Highly desired 1 Years
Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing and storage Highly desired 1 Years
Experience with Power BI Nice to have 1 Years

Description:
DHHS-ITD is seeking a Data Engineer for development and optimization of end-to-end solutions using Microsoft Azure Synapse Analytics and Power BI for the Child Welfare Program.

The Department of Health and Human Services (DHHS) requires the assistance of a contract resource to serve as a Data Engineer for the development and optimization of data pipelines, analytics solutions, and cloud-based data platforms. This role will be instrumental in designing and implementing end-to-end data engineering solutions using Microsoft Azure Synapse Analytics to meet child welfare business needs.

Key Responsibilities:
Synapse
Design, Develop and maintain data models in Synapse to support reporting and analytics
Develop ETL solutions using Azure Synapse Analytics Pipelines and dedicated SQL pools for extraction, transformation and aggregation from Salesforce objects.
Analyze the source system and design the ETL data load.
Ability to create and configure Azure Synapse Analytics workspace.
Create pipelines in Azure Synapse using Linked Services/Datasets/Pipeline to Extract, Transform and Load data from different sources like Salesforce.
Perform needed monitoring, troubleshooting, and maintenance of the data architecture and pipelines.
Power BI Tools
Collaborate with data engineers, analysts, and stakeholders to gather requirements, design visualizations, and provide training to use self-service BI Tools.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.