Overview
Hybrid
$120,000+
Full Time
Able to Provide Sponsorship
Skills
Data Engineer
Azure
Pyspark
Job Details
Job/Role (Title) Name: Data Engineer
Work location: Dallas, TX(Hybrid)
Work Mode: Hybrid (3 days in-office, 2 days remote)
Duration: Long-Term
Relevant Experience: 10+ years
Job Description:
Minimum Qualifications - Education & Prior Job Experience:
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training.
- 3 years of software solution development using agile, DevOps, and operating in a product model, including designing, developing, and implementing large-scale applications or data engineering solutions.
- 3 years of data analytics experience using SQL.
- 2 years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms is required:
- Scripting: Python, PySpark, Unix, SQL
- Data Platforms: Teradata, SQL Server, ADLS, Azure Data Explorer. Administration skills are a plus.
- Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Azure Functions.
- CI/CD: GitHub, Azure DevOps, Terraform
- BI Analytics Tool Stack: Cognos, Power BI
Preferred Qualifications - Education & Prior Job Experience:
- 5+ years of software solution development using agile, DevOps, and a product model, including designing, developing, and implementing large-scale applications or data engineering solutions.
- 3+ years of data analytics experience using SQL.
- 3+ years of full-stack development experience, preferably in Azure.
- 3+ years of cloud development and data lake experience (preferably Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI.
- Airline Industry Experience.
Skills, Licenses & Certifications:
- Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation, and creating consumption layers.
- Azure Development Track Certification (preferred).
- Spark Certification (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.