Title: Data Engineer
Location: Fort Worth, TX - 76155
Duration: 6 to 12 months Contract to Hire
Work mode: 3 days hybrid onsite (Tue/Wed/Thu)
TOP SKILLS:
SQL, building data solutions, develops practices, Client Azure(Generic), Python, Sequel
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 Client 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 Client 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
LANGUAGE / COMMUNICATION SKILLS
Ability to effectively communicate both verbally and written with all levels within the organization