Specialist - Data Engineering

Role description

Title - Azure Data Engineer

Location - Fortworth, TX

This is Hybrid role and there will be in-person client interview at Fortworth, TX, if shortlisted.

TOP requirements:

Azure Cloud
Databricks
Pyspark

SQL

WHAT YOU'LL DO

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, ing, 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 - Education & Prior Job Experience
• Bachelor's 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