Azure Data Engineer

Role : Data Engineer

Location : Dallas, Tx Hybrid (3 Days onsite)

In-Person Interview for 2nd round

JOB DESCRIPTION :

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

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, PySpark, Unix, SQL

Data Platforms : Teradata, SQL Server, ADLS,

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, Azure DevOps, Terraform

BI Analytics Tool Stack - Cognos, 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.

3+ 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

Skills, Licenses & Certifications

Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers.

Azure Development Track Certification (preferred)

Spark Certification (preferred)