Data Engineer - CTH

Inspyr Solutions

Fort Worth, United States

24 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$79,040.0 - $93,600.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Agile Methodology Business Analytics Applications Microsoft Azure Information Systems Continuous Integration Information Engineering Data Governance DevOps Github Python (Programming Language) Microsoft SQL Server MongoDB

+29 more

Oracle (Applications) Performance Tuning Systems Development Life Cycle Power BI Azure Data Lake Software Engineering SQL Databases Data Streaming Tableau (Software) Teradata SQL Azure Service Bus Data Ingestion Azure Data Factory Snowflake Grafana Apache Spark Data Lakes Information Technology Cassandra Data Analytics Data Management Tools for Reporting Terraform Stream Analytics Software Version Control Data Pipelines Serverless Computing Jenkins Databricks

Job description

We are seeking a Senior Data Engineer to join a high-performing technology team focused on building scalable data and analytics solutions. This role will work closely with application teams, Product Owners, and other stakeholders to design, develop, and support cloud-based data products that enable better business decisions., * Design, develop, and support scalable data engineering and analytics solutions within Microsoft Azure.

Build and maintain batch and real-time/streaming data pipelines.
Develop data ingestion, transformation, modeling, and consumption layers using Azure Data Factory, Databricks, Data Lake, Event Hubs, and Azure Functions.
Partner with application teams and Product Owners to translate business and data requirements into technical solutions.
Participate across the full development lifecycle, including design, development, testing, CI/CD, deployment, performance tuning, monitoring, and production support.
Work within an Agile/DevOps product model with end-to-end ownership of data products.
Establish coding standards and engineering best practices around security, privacy, performance, and data quality.
Provide technical leadership and mentor other engineers.

Requirements

The ideal candidate will have strong hands-on experience with Microsoft Azure, data engineering, SQL, Python/Spark, and modern data pipelines., * Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; equivalent experience considered.

3+ years of data engineering/software development experience within Agile and DevOps environments.
3+ years of SQL and data analytics experience.
3+ years of cloud/data lake experience, preferably Microsoft Azure.
Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake/Blob Storage, and Azure DevOps.
Strong development/scripting experience with Python, Spark, and SQL.
Experience building batch and/or streaming data pipelines.
Experience with CI/CD and source control using tools such as GitHub, Jenkins, Azure DevOps, or Terraform.
Strong communication skills with the ability to work across technical and business teams., * 5+ years of data engineering/software development experience.
Experience with Azure Event Hubs, Azure Functions, Azure Data Explorer, or Azure Stream Analytics.
Experience with data platforms such as Teradata, Snowflake, SQL Server, Oracle, Cassandra, or MongoDB.
Experience with Power BI, Tableau, Grafana, or other BI/analytics tools.
Data governance experience with tools such as Alation, Informatica, Monte Carlo, or BigID.
Teradata Vantage development/administration experience.
Airline industry experience.
Azure and/or Spark certification preferred.