Azure Data Engineer

If you are a talented Azure Data Engineer who's passionate about transforming data into actionable insights. Join our esteemed team at INGRITY, where your expertise as an Azure Data Engineer will be crucial for serving our clients.
At INGRITY:Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team.INGRITY isn't your typical workplace; we thrive on the fusion of Intelligence & Grit. Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you.

• Do you seek roles fostering personal growth, allowing you to excel?
• Do you flourish in a culture that values open communication and diverse perspectives?
• Are you passionate about expanding your skills, eager to join a company that invests in employee development?
• Are integrity and accountability at the core of your values?

If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data smart excellence.
About the job:We are seeking Azure Data Engineer to join our team in the Banking /Financial services or Insurance sector.

• You will have the unique opportunity to collaborate closely with our prestigious clients in these industries and contribute to their success.

Your Responsibilities:

• Stakeholder Collaboration: Work closely with diverse business stakeholders (our clients) to comprehend data and reporting needs.
• Insightful Analysis: Generate comprehensive analyses from data and reports to improve operational efficiency. Address concerns identified through data insights, fostering continuous improvement.
• End-to-End Data Management: Oversee the entire data delivery process for new projects. This includes change management, ideation, requirements gathering, development, testing, and migration to production for dashboard creation.
• Pipeline Development: Design, develop, implement, and maintain scalable data pipelines and ETL processes using Azure Data Factory (ADF) and Synapse. Create and manage metadata ingestion processes in ADF.
• Cloud Data Solutions: Implement and deploy Azure-based data solutions across the Microsoft platform, leveraging ADF.
• Data Governance and Best Practices: Support data governance activities and advocate for best practices within data warehousing.
• Monitoring and Maintenance: Establish monitoring and alerting systems to promptly detect data pipeline failures or anomalies. Support Azure technology stack development and maintenance, managing code versioning across the BI platform.
• CI/CD Pipeline Setup: Set up and maintain CI/CD pipelines to support the data warehouse, ensuring efficient and automated deployment processes.

Your Technical Skills and experience:

• 5+ years in a similar role with expertise in data warehouses and data lake ETL/pipeline tools.
• Technical Skills: Proficiency in the Azure technology stack (ADF, ADLS, MS SQL Server), data warehouse schema design, ETL processes, and exposure to the Microsoft stack.
• Azure Cloud Expertise: Proven experience in Data Engineering within Azure cloud environments, particularly Azure Data Factory (ADF) and Databricks.
• Methodologies: Familiarity with release and version methodologies, change management procedures, SQL coding (Microsoft dialect). Exposure to R, Java, Scala, Python is advantageous.
• Analytical Mindset: Deep understanding of analytics' business-driving capabilities. Champion a culture of data-driven decision-making.
• Attention to Detail: Ability to identify gaps in information, manipulate complex datasets, and showcase strong data cleaning skills.
• Self-Motivated: Highly motivated with excellent time management skills, capable of working independently.
• Proficiency in Microsoft Data & Analytics PaaS, Azure DevOps, Azure Pipeline, and CI/CD.
• Knowledge and experience in Power BI

Certifications:

• Certification in Azure Solutions Architect Expert is a must have.
• Possessing the Azure Administrator Associate certification is advantageous.
• Certification in Azure Data Engineer Associate or similar is beneficial

If you are a talented Azure Data Engineer and are excited about the opportunity to contribute to our data-driven success, please submit your resume. Be sure to highlight your relevant experience and achievements.
Note:

• This position is based in Australia.
• The candidate must have full working rights in Australia to be eligible for this role.
• Shortlisted candidates will be contacted for further interviews.

About INGRITY:

We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.