Data Engineer

Data Engineer

Duration: Contract

Location: Dallas, TX

Only local candidates are considered.

Note: Second round interviews will be in person.

Client: LTI M/Delta Airlines.

Job description:

Top 3 mandatory skills and experience: SQL, Python, PySpark; Nice to have skills and experience: API Development

Data Engineer - Azure Data Bricks

Description:

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:

1. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

2. 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. 3 years Data Engineering experience using SQL

4. 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI.

5. Combination of Development, Administration & Support experience in several of the following tools/platforms required:

a. Scripting: Python, PySpark, Unix, SQL

b. Data Platforms: Teradata, SQL Server

c. Azure Data Explorer. Administration skills are a plus

d. Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Power Apps, and Azure Functions

e. CI/CD: GitHub, Azure DevOps, Terraform

f. BI Analytics Tool Stack - Cognos, Power BI

Preferred qualifications:

1. 5 years of software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.

2. 3+ years of Data Analytics experience using SQL

3. 3+ years full-stack development experience, preferably in Azure

4. 3+ years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps, and Power BI.

5. 1+ years of FAST API experience is a plus

6. Airline Industry Experience

7. Skills, Licenses & Certifications

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

9. Azure Development Track Certification (preferred)

10. Spark Certification (preferred)