Azure Data Engineer

Azure Data Engineer

Dallas,TX/Phoenix,AZ locals Only

W2 preferred

Face to face interview mandatory for Final round

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Databricks and Python.

Build and optimize ETL/ELT workflows for structured and unstructured data.

Develop high-performance data processing solutions using Py Spark and Spark SQL.

Design and implement data lake architecture leveraging Delta Lake.

Create and manage data ingestion frameworks from multiple enterprise sources.

Implement data quality, validation, governance, and monitoring mechanisms.

Must have hands on experience using Gen AI tools like GitHub CoPilot

Optimize Databricks jobs, clusters, notebooks, and workflows for performance and cost efficiency.

Collaborate with business analysts, data scientists, architects, and application teams to deliver enterprise data solutions.

Support batch and near real-time data processing requirements.

Participate in architecture discussions, code reviews, and best-practice implementation.

Ensure secure, scalable, and reliable cloud data solutions aligned with organizational standards.

Required Technical Skills

Primary Skills (Must Have)

Azure Databricks

Python

Py Spark

Delta Lake

Spark SQL

Data Engineering

ETL/ELT Development

Azure Data Lake Storage (ADLS Gen2)

SQL

Azure Platform Skills

Azure Databricks

Azure Data Factory (ADF)

Azure Storage Accounts

Azure Key Vault

Azure Monitor

Azure App Insights

Azure Networking Concepts

Secondary Skills

Data Modeling (Star Schema, Snowflake Schema)

DataWarehousing Concepts

Performance Tuning and Optimization

REST API Integration

NoSQL Databases

Azure Synapse Analytics

Advanced Python development (building production grade services, APIs, or data platforms)
Cloud native development Azure Databricks
Strong experience with software design, testing, and CI/CD pipelines

PostgreSQL, Kubernetes, Redis, Git, Github Actions, Maven, Junit, Agile.