Senior Synapse Data Engineer - HYBRID

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 05 Month(s)

Skills

Amazon Web Services
Data Lake
ELT
ETL/ELT
SQL Azure
Microsoft Azure
Python
Snow Flake Schema
Data Architecture

Job Details

Job Description:

***Crop to Crop resumes are accepted

The Department of Health and Human Services (DHHS) requires the assistance of a contract resource to serve as a Senior Synapse Data Engineer. The primary purpose of this position is to lead the development and optimization of our 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.

Required Skills:

Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows

Programming Languages: Strong proficiency in Python or Scala for data processing.

SQL Mastery: Advanced query writing, performance tuning, and optimization.

Experience with Data Modeling and Warehousing (star schema, snowflake schema)

Experience with ETL/ELT processes

Desired Skills:

Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database)

Familiarity with Event Hubs, Azure Stream Analytics, and Azure Functions

Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)

Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing and storage

Experience with Power BI

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.

About Chandra Technologies, Inc.