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Senior Azure Data Engineer Atlanta, GA (Onsite) on w2

Atlanta, GA, US • Posted 3 hours ago • Updated 3 hours ago

Contract W2

12 Months

On-site

$50 - $60/hr

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

We are seeking a Senior Azure Data Engineer with 8-10 years of experience in building and optimizing large-scale data platforms. The ideal candidate will have strong expertise in Scala
Spark/PySpark
Azure Synapse Analytics
Azure Data Lake (ADLS)
and SQL. This role involves designing scalable data solutions
developing data pipelines
optimizing performance
and supporting enterprise analytics initiatives.

Summary

Job Title: Senior Azure Data Engineer
 Location: Atlanta, GA (Onsite   Relocation Accepted)
Duration: 12 + Months Contract 
 

pranayatburgeonitsdotcom

Job Summary

We are seeking a Senior Azure Data Engineer with 8-10 years of experience in building and optimizing large-scale data platforms. The ideal candidate will have strong expertise in Scala, Spark/PySpark, Azure Synapse Analytics, Azure Data Lake (ADLS), and SQL. This role involves designing scalable data solutions, developing data pipelines, optimizing performance, and supporting enterprise analytics initiatives.

Required Skills

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8-10 years of IT experience
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7+ years of Data Engineering experience
```
```
Scala
```
```
Apache Spark
```
```
PySpark
```
```
Azure Synapse Analytics
```
```
Azure Data Lake Storage (ADLS)
```
```
SQL
```

Data Modeling (Bronze, Silver, Gold Layers)

```
Delta Lake / Parquet
```
```
Distributed Data Processing
```
```
Azure Data Architecture
```
```
Git / Azure Repos
```
```
Maven
```
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Performance Tuning & Optimization
```
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Data Governance & Security
```

Strong Communication & Leadership Skills

Preferred Skills

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Python
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Java
```
```
Microsoft Fabric
```
```
KQL (Kusto Query Language)
```
```
Azure Log Analytics
```

Key Responsibilities

Design and implement scalable Azure data solutions using Synapse, ADLS, Spark, and Scala.

Develop and optimize ETL/ELT pipelines and enterprise data models.

Manage and support data lake architectures using Delta and Parquet formats.

Monitor, troubleshoot, and improve performance, reliability, and security of data platforms.

Mentor team members and collaborate with business and technical stakeholders.

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.

Dice Id: 10500016
Position Id: 8988922
Posted 3 hours ago

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