IT Specialist

TEXTRON SYSTEMS

United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

textron.taleo.net

Tech stack

Application Programming Interfaces (APIs) Automation of Tests Microsoft Azure Software as a Service Computer Engineering Continuous Integration Data Architecture Information Engineering Data Governance Information Lifecycle Management Meta-Data Management Microsoft Windows SDK

+14 more

Power BI DataOps SQL Databases Data Processing Scripting Real Time Systems Azure Data Factory Apache Spark Microsoft Fabric Pyspark Data Management Software Version Control Data Pipelines Databricks

Job description

Design and deliver end to end data solution across Microsoft Azure and Fabric platforms.
Build and maintain scalable, high performance data pipelines using Azure Data Factory and Fabric.
Engineer Microsoft Fabric Lakehouse architectures using medallion layers (Bronze, Silver, Gold).
Design and implement data models and data products aligned to business needs.
Develop and optimise data transformations using PySpark/ Spark within Microsoft Fabric Notebooks.
Integrate data from on-premise, Microsoft Azure and SaaS platforms.
Ensure data quality, performance, governance and reliability across all data products.
Implement data operations practices including CI/CD, monitoring and version control.

Requirements

Strong experience with Azure Data Factory and modern data integration patterns through native connections, APIs, Python scripts etc.
Strong proficiency in SQL and data modelling for analytics-ready solutions.
Experience with Azure cloud data platforms and modern data architectures.
Knowledge or experience of Microsoft Fabric, including lakehouse / warehouse concepts and Power BI integration.
Experience with PySpark /Spark-based data processing (e.g. Databricks or Fabric).
Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management.
Experience designing medallion (Bronze/Silver/Gold) architectures, lakehouse patterns, and batch/near-real-time processing., * Strategic agility
Openness to Learning
Business acumen
Communications skills
Cultural awareness
Ethics & Values
Compassion
Self-Development
Priority Setting
Drive for Results
Organizational Skills, * Strategic agility
Openness to Learning
Business acumen
Communications skills
Cultural awareness
Ethics & Values
Compassion
Self-Development
Priority Setting
Drive for Results
Organizational Skills
Bachelor’s degree in computer science engineering or equivalent experience, with proven experience in data engineering, analytics engineering, or a similar role.
7+ years data engineering experience within the Microsoft platform.
Microsoft Fabric and Azure certifications are a plus.
Bachelor’s degree in computer science engineering or equivalent experience, with proven experience in data engineering, analytics engineering, or a similar role.
7+ years data engineering experience within the Microsoft platform.
Microsoft Fabric and Azure certifications are a plus.
Hands-on experience designing, building, and maintaining scalable data pipelines and data platforms.
Understanding of data governance, data quality, security, and metadata management best practices.
Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
Ability to work collaboratively with business stakeholders, architects, and cross-functional teams to deliver data products.
A proactive mindset with a focus on continuous improvement, innovation, and delivering business value through data.
Experience developing and supporting data products, transforming business requirements into trusted, governed, and reusable datasets that drive reporting, analytics, and operational decision-making.
Understanding of data product lifecycle management, including data ownership, quality, metadata, lineage, and governance best practices
Hands-on experience designing, building, and maintaining scalable data pipelines and data platforms.
Understanding of data governance, data quality, security, and metadata management best practices.
Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
Ability to work collaboratively with business stakeholders, architects, and cross-functional teams to deliver data products.
A proactive mindset with a focus on continuous improvement, innovation, and delivering business value through data.
Experience developing and supporting data products, transforming business requirements into trusted, governed, and reusable datasets that drive reporting, analytics, and operational decision-making.
Understanding of data product lifecycle management, including data ownership, quality, metadata, lineage, and governance best practices