Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your Azure Databricks, PySpark, and Python expertise to build impactful data solutions within the airline industry, with competitive hourly compensation ranging from USD 60-65. You'll thrive here if you're a self-driven problem solver ready to design, develop, and maintain robust cloud-based ETL pipelines in an Agile environment. Apply today to grow your career with PTR Global!
Quick Overview
Salary
$60 - $65/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Fort Worth, TX, United States
Posted
Yesterday
OracleSQLSQL ServerMachine LearningTableauAgileAzureDatabricksPower BI
Job Description
Position: Azure Data Engineer
Location: Fort Worth, Texas (Hybrid)
Duration: Contract
Job ID: 180298
Interview: F2F required.
Job Description:
Candidates will love this job:
Minimum Qualifications - Education and Prior Job Experience:
Data Engineer (Azure)
Must Have skillsets:
Non-Technical Skills:
Pay Range: $60 - $65/Hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work
#LI-SA4
Location: Fort Worth, Texas (Hybrid)
Duration: Contract
Job ID: 180298
Interview: F2F required.
Job Description:
Candidates will love this job:
- As one diverse, high-performing team dedicated to technical excellence, candidates will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
- The Data Domain refers to the area within Information Technology that focuses on managing and leveraging data as a strategic asset.
- This includes data management, storage, integration and governance.
- The Data domain leans into Machine Learning and AI, as well as Data Science and Business Intelligence.
- This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced.
- Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
- Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
- Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools
- Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support
- Provide technical leadership and collaborate within a team environment as well as work independently
- Be a part of a DevOps team that completely owns and supports their product
- Implement batch and streaming data pipelines using cloud technologies
- Leads development of coding standards, best practices and privacy and security guidelines
- Mentors' others on technical and domain skills to create multi-functional teams
Minimum Qualifications - Education and Prior Job Experience:
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 3 plus years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
- 3 plus years data analytics experience using SQL
- 3 plus years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
- 5 plus years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
- 5 plus years data analytics experience using SQL
- 3 plus years full-stack development experience, preferably in Azure
Data Engineer (Azure)
Must Have skillsets:
Non-Technical Skills:
- Experience working with cross functional teams: engineers, technical analysts, PM/POs, tech leads, business teams, etc.
- Airline experience (nice to have)
- Data Engineering (Databricks, PySpark, ADF, SQL)
- Databases (SQL Server, Oracle, Data Modeling/Data Warehousing)
- Reporting/BI experience (Power BI, Tableau, Cognos)
- Azure Cloud development experience
- CI/CD Build and Release Pipelines (ADO, GH)
Pay Range: $60 - $65/Hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work
#LI-SA4
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