Data Engineer
Job Location:
Job Location:
Fort Worth, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
13 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Description
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 & Prior Job Experience
Bachelors degree in Computer Science Engineering Information Systems or related field (or
equivalent experience).
5-7 years of data analytics experience using SQL and working with data platforms like
Teradata Cassandra MongoDB Oracle SQL Server Snowflake ADLS and Azure Data
Explorer.
5 years of cloud development and data lake experience primarily in Microsoft Azure
(EventHub Data Factory Databricks Blob Storage Power BI Azure Functions etc.).
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
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 & Prior Job Experience
Bachelors degree in Computer Science Engineering Information Systems or related field (or
equivalent experience).
5-7 years of data analytics experience using SQL and working with data platforms like
Teradata Cassandra MongoDB Oracle SQL Server Snowflake ADLS and Azure Data
Explorer.
5 years of cloud development and data lake experience primarily in Microsoft Azure
(EventHub Data Factory Databricks Blob Storage Power BI Azure Functions etc.).
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
TOP requirements:
Azure Cloud
Databricks
Snowflake
Nice to have:
Java
MicroServices
Azure DevOps
Azure Cloud
Databricks
Snowflake
Nice to have:
Java
MicroServices
Azure DevOps
