• Incident Resolution: Investigate and resolve data-related incidents escalated from Level 1 support, including issues with data pipelines, ETL processes, and data transformations.
• Monitoring & Alerts: Monitor system alerts for data jobs and pipelines, resolving issues that arise to ensure timely and accurate data delivery.
• Data Quality: Ensure the integrity and quality of data by validating data transformations, performing routine checks, and debugging data anomalies.
• Optimisation: Identify and implement performance improvements in data pipelines and processes.
• Support Documentation: Maintain comprehensive documentation of common issues, resolutions, and processes to improve future incident response.
• Collaboration: Work with cross-functional teams, including Data and BI teams, and IT, to ensure alignment and continuity of data solutions and infrastructure.
• ETL Troubleshooting: Diagnose and resolve issues in ETL workflows, ensuring seamless data flow between systems.
• Root Cause Analysis: Perform root cause analysis for recurring data issues, proposing and implementing long-term fixes.
• Stakeholder Communication: Effectively communicate the status of incidents and solutions to stakeholders and business users.

• 2+ years of experience in data engineering, primarily in Level 2 support, focusing on supporting data workflows and data platforms.
• Technical Skills:
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Solid experience with data pipeline technologies, particularly in using Azure Data Factory (ADF) to build and manage ETL workflows.
  • Experience with Power BI for data visualization and reporting.
  • Proficient in SQL, including the ability to write complex SQL queries for data extraction, transformation, and analysis.
  • Experience with cloud platforms (e.g., Azure) and associated data services.
  • Understanding of database systems (e.g., My SQL, Postgre SQL, Mongo DB).
  • Proficient with version control and CI/CD practices.
• Problem-Solving: Strong troubleshooting and analytical skills to quickly resolve data issues.
• Ability to communicate effectively with technical and non-technical stakeholders.
• High level of accuracy and attention to detail when resolving incidents and ensuring data quality.
• Education: Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).

• Location: Sydney, Australia.
• Eligibility: Candidates must have full working rights in Australia.
• This is for a Level 2 Support Data Engineer and requires an early start.

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.