Fort Worth, TX company is seeking a Senior Data Engineer to join their team for a contract opportunity.
Leverage the latest technology to solve business problems in a collaborative environment at this Fortune 500 transportation giant. Top technical resources are retained on long-term contract engagements.
Responsible for leveraging cutting edge technology to solve business problems by participating in all phases of the development process from inception through transition, advocating the agile process and test-driven development, using object-oriented development tools to analyze, model, design, construct and test reusable objects, and making the codebase better.
Contract Duration: 3 Months
Required Skills & 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.
- 2 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.
- 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 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 Warehousing: DataStage, Informatica.
- Data Governance and Privacy: Informatica Axon and EDC, BigID
- 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.
Desired Skills & Experience
- Azure Data Explorer. Administration skills
- Spark Certification
- Azure Development Track Certification.
- 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
What You Will Be Doing
- 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.
- Mentor others on technical and domain skills to create multi-functional teams.
Posted By: Crystal Susong