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Data Engineer (Microsoft Azure)
Goldenpick Technologies LLCUnited States🇺🇸United StatesPosted 18 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Project description
The project focuses on designing and delivering scalable cloud-based data engineering solutions on Microsoft Azure. The role will support large-scale data integration, analytics, machine learning, AI solutions, and business intelligence through modern data platforms and automated ETL/ELT pipelines.
The project focuses on designing and delivering scalable cloud-based data engineering solutions on Microsoft Azure. The role will support large-scale data integration, analytics, machine learning, AI solutions, and business intelligence through modern data platforms and automated ETL/ELT pipelines.
Responsibilities
- Design, develop, and optimize ETL/ELT solutions using Azure Databricks, LakeBase, and Spark.
- Build and deploy large-scale data pipelines supporting analytics, machine learning, predictive modeling, reporting, and data products.
- Integrate structured and unstructured data from databases, APIs, FTPs, cloud storage, and various file formats.
- Develop and optimize complex SQL queries and data models.
- Build AI-based solutions for business needs, process automation, and operational efficiency.
- Improve data reliability, integrity, performance, and overall platform quality.
- Contribute to data architecture, engineering standards, frameworks, and best practices.
- Provide technical guidance and mentorship to other data engineers.
Skills Must have
- 7+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes.
- 5+ years of hands-on Python experience and 2+ years of experience with SQL, complex data schemas, and query performance optimization.
- At least 2 years of hands-on experience with Redis-backed state management and event-driven processing, as well as building cloud solutions using Azure Databricks with Unity Catalog, Snowflake, Azure Functions, and Service Bus.
- Practical experience with Terraform-based DevOps automation and CI/CD tools including GitHub Actions, Git, Artifactory, and Sonar is required.
Mandatory Skills (only names):
- Azure Databricks
- Apache Spark
- Python
- SQL
- ETL/ELT
- Data Engineering
- Data Modeling
- Redis
- Snowflake
- Azure Functions
- Azure Service Bus
- Terraform
- GitHub Actions
- Git
- Artifactory
- Sonar
Skills
SQL
ETL
Machine Learning
Snowflake
Apache
Apache Spark
Azure
Databricks
Git
GitHub Actions
Python
Redis
Terraform
Unity
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