Data Engineer 1 4P/244

Data Engineer Experience Level:

1-3 Years

Location- Atlanta, Ga

Client- Georgia Power

Contract- 1 Year Job Summary:

We are seeking a highly motivated

Data Engineer

with 1-3 years of experience to join our data engineering team. The ideal candidate will focus on manipulating, transforming, and structuring data to support business intelligence and analytics needs. This role involves working across cloud and on-premises data platforms to deliver scalable and optimized data solutions. Strong proficiency in SQL, data modeling, cloud technologies, and big data tools is essential. Key Responsibilities: Data Engineering & Integration: Normalize, structure, and transform data to meet application and analytics requirements. Build scalable datasets and data pipelines from structured and unstructured sources. Design and implement ETL/ELT processes using Azure Data Factory, Azure Databricks, and Python. Data Platform Management: Develop and support data solutions across

cloud (Azure)

and

on-premises

platforms such as: Azure Data Lake ,

Azure Synapse ,

Azure Key Vault ,

Power BI ,

MSBI (SSIS/SSAS) ,

SQL Server , and

Oracle .

Implement solutions using big data tools like

Spark ,

Hive , and

Hadoop . Advanced Analytics & Automation: Support AI/ML data needs by building pipelines and features using

Python

and Azure tools. Automate processes using

Autosys ,

Airflow , and containerization technologies such as

Docker

or

OpenShift . Create, consume, and integrate

APIs and web services

for enriched data delivery. Solution Design & Governance: Participate in functional and technical design for data solutions, including creating re-usable components. Implement

data governance standards

using tools like

Databricks Unity Catalog . Perform code reviews and ensure adherence to best practices. Project & Collaboration: Work on multiple concurrent projects in an Agile/DevOps environment. Collaborate with cross-functional teams across enterprise settings. Maintain clear documentation and deliver data engineering components that align with analytics strategies. Required Qualifications: 1-3 years of experience in data engineering or related IT roles. Proficiency in

SQL ,

data modeling , and tools such as

Spark ,

Hive ,

Airflow ,

Python . Strong experience with

Microsoft Azure

ecosystem (Data Factory, Synapse, Databricks, Data Lake). Hands-on knowledge of on-prem tools:

SSIS ,

SSAS ,

Informatica ,

Oracle Golden Gate ,

SQL Server . Familiarity with

DevOps ,

CI/CD ,

Agile development methodologies . Experience developing and integrating APIs/web services. Preferred Qualifications: Microsoft

Azure Data Engineer Associate

certification. Experience with

data governance frameworks

and tools. Knowledge of the

Utilities/Gas industry

and its data practices. Experience with

JIRA

and/or

Azure DevOps

for project management and tracking.