Location: North Texas
Experience: Minimum 3 years
Job Type: Permanent
Strong expertise in Azure Data Engineering tools, including Azure Data Factory, Azure Databricks, Azure Data Lake, Event Hub, and Power BI .
Experience with SQL-based data analytics and data migration solutions.
Hands-on experience in Python, Spark, Unix, and Terraform .
Familiarity with CI/CD pipelines using GitHub, Jenkins, and Azure DevOps .
Proven ability to work within an Agile and DevOps environment .
Knowledge of BI tools like Cognos, Tableau, and Grafana .
Preferred: Azure Development and Spark Certifications .
Thinking Minds Inc.'s client is looking for an Azure Data Engineer to join their Data Engineering and Analytics team. This role will be responsible for designing and implementing cloud-based data solutions that enable business insights and decision-making. The ideal candidate will play a key role in data integration, modeling, and analytics , ensuring seamless data flow across the organization.
Collaborate with product owners and data source teams to design, develop, and implement scalable data engineering solutions .
Develop data pipelines and migration strategies using Azure technologies such as Azure Data Lake, Azure Data Factory, Azure Functions, and Event Hub .
Implement batch and streaming data pipelines to process and analyze real-time data efficiently.
Lead and support data warehousing initiatives , ensuring optimized storage, retrieval, and transformation of large datasets.
Work within a DevOps team , owning the development, deployment, and monitoring of data solutions.
Optimize data architecture for performance, reliability, and scalability .
Enforce coding standards, best practices, and security guidelines across the team.
Provide technical mentorship to junior team members.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field , or equivalent experience.
3+ years of experience in software development and data engineering .
3+ years of experience in SQL-based data analytics .
2+ years of experience working with Azure cloud technologies .
Experience with data platforms such as Teradata, MongoDB, SQL Server, and Snowflake .
Strong programming skills in Python, Spark, and Unix scripting .
Hands-on experience in CI/CD, DevOps, and Infrastructure as Code (IaC) using GitHub, Jenkins, and Terraform .
5+ years of experience in data engineering and cloud development .
3+ years of experience in full-stack development on Azure.
Familiarity with BI and data visualization tools like Tableau, Power BI, and Cognos .
Experience in data governance and privacy compliance using Informatica Axon, BigID, and EDC .
Airline industry experience is a plus.
Azure Development and Spark Certifications are preferred.
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