Data Engineer - F2F Interview - Only local to TX

Job Details

Data Engineer

Fulltime Hire

Dallas Fort Worth, TX

WHY YOU’LL LOVE THIS JOB

• As one diverse, high-performing team dedicated to technical excellence, you 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.

WHAT YOU’LL DO

• 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

ALL YOU’LL NEED FOR SUCCESS

Minimum Qualifications – Education & 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+ 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+ years data analytics experience using SQL
• 3+ 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
•  

Preferred Qualifications – Education & Prior Job Experience

• 5+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 5+ years data analytics experience using SQL
• 3+ years full-stack development experience, preferably in Azure
• 3+ years of cloud development and data lake experience (prefer 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

• 3+ years of Teradata Vantage development and administration

Skills, Licenses, and Certifications

• Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers
• Expertise in providing practical direction within the Azure Native cloud services
• Azure Development Track Certification (preferred)
• Spark Certification (preferred)
• Combination of Development, Administration & Support experience in several of the following tools/platforms required:

Scripting:

• Python, Spark, Unix, SQL

Data Platforms:

• Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake
• Azure Data Explorer.
• Administration skills 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, Jenkins, Azure DevOps, Terraform

BI Analytics Tool Stack

• Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana

Data Governance and Privacy:

• Alation, Monte Carlo, Informatica and BigID

Top Skills:

• SQL, building data solutions, develops practices, Microsoft Azure(Generic), Python, Sequel

Nice to Have Skills:

• Spark and Databricks