Data Engineer : IN-Person Interview

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Amazon Web Services
PL/SQL
SQL
Salesforce.com
Data Lake
Azure Data Factory
Azure Data Lake
and Azure SQL Database
T-SQL
Python
Databricks
Snowflake
Azure Synapse
Power BI
AWS
Azure
Data Engineering

Job Details

Title : NC FAST Data Engineer (777857)
Location : Durham, NC
Duration : 12+ Months
Client : State of NC Hybrid

1St round - Webcam Interview

2nd round - In Person Interview 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.

Skill

Required / Desired

Amount

of Experience

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

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.