AL
Associate Data Engineer
Artech LLC
- 🇺🇸 United States
- On-site
- Staff / Principal
- 1 day ago
- Machine Learning
- AI
- SQL
- Azure
- Python
- Databricks
- Azure Data Factory
- Azure Functions
- Azure Databricks
- Network Security
- Data Modeling
- CI/CD
- Devops
- Agile
- Azure DevOps
- Azure Blob Storage
- Power Apps
- Power BI
- Unix
- Teradata
- Cassandra
- MongoDB
- Oracle
- Snowflake
- Azure Cloud
- GitHub
- Jenkins
- Terraform
- Cognos
- Tableau
- Alteryx
- Grafana
- Alation
- Informatica
1 day ago
Location: Fort Worth, TX - 76155 (3 days hybrid onsite)
Duration: 6-12 months Contract to Hire opportunity
Job Overview:
- 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.
- 3+ years of Data Engineering, SQL, building data solutions, develops practices, Client Azure(Generic), Python.
- Spark and Databricks
- 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
- 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
- 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
What is the team environment and structure like?: Tech lead and 3 other senior and junior developers. Candidate will work closely with most senior developers and will be expected to be able to follow clear instructions.
Associate Data Engineer · Artech LLC