What are the responsibilities and job description for the Azure Data Engineer position at Thinking Minds Inc.?
Job Details
Summary:
Location: North Texas
Experience: Minimum 3 years
Job Type: Permanent
Ideal Candidate Should Have:
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.
Job Description
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.
Responsibilities:
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.
Required Qualifications:
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.
? Preferred Qualifications:
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.
Location: North Texas
Experience: Minimum 3 years
Job Type: Permanent
Ideal Candidate Should Have:
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.
Job Description
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.
Responsibilities:
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.
Required Qualifications:
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.
? Preferred Qualifications:
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.
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.
