Analyst Programmer

15 hours ago

Sydney, Australia INGRITY Full time

**Analyst Programmer**

**Location**: Sydney, Australia
**Salary**: AUD 90,000 - 110,000 annually
**Employment Type**: Full-Time

**About INGRITYINGRITY** is a Microsoft Data and AI Solution Partner dedicated to delivering transformative data and AI-driven solutions. We collaborate with some of the best ASX-listed companies and medium-sized businesses, working closely with Microsoft to create measurable value for our customers. Our success is built on innovation, customer advocacy, and a strategic partnership with Microsoft.
**About the job**We are looking for a skilled Analyst Programmer to join our delivery team. This role suits a hands-on professional with a solid background in data and analytics development, cloud data architecture, pipeline design, and system integration.

**Key Responsibilities**:

- Work with both technical and business stakeholders throughout the organization to identify opportunities for leveraging data to drive solutions and analytical projects
- Design, develop, and maintain scalable data pipelines using modern cloud technologies
- Participate in data warehouse migration and optimization projects
- Collaborate with business analysts and developers to define technical requirements and project scope.
- Support cost optimization efforts by tuning and restructuring BigQuery tables and cloud resources.
- Participate in proof-of-concept initiatives and contribute to architecture design discussions.
- Conduct R&D to explore new tools, frameworks, and practices that enhance data integration solutions.
- Provide technical leadership in cross-functional projects, acting as solution architect or senior developer where needed..

**Technical Capabilities**:

- 10+ years of experience in data and analytics solution development
- Lead team of junior data engineers/developers to deliver analytical projects across the BFSI domain
- Experience with Azure or GCP (BigQuery, Cloud Run, Terraform, Buildkite) or AWS (Redshift, S3).
- Expertise in data orchestration tools (e.g., Airflow, DBT) and containerized environments (Docker).
- Proficient in Python, SQL, Scala, and Spark for data engineering and transformation tasks.
- Background in ETL development and data integration.
- Version control and CI/CD using Git and related DevOps practices.
- Ability to work within complex and challenging data environments
- Comfortable working in cross-functional teams to deliver high-quality solutions on time.

**Education**:

- Bachelor of Science in Computer Engineering or related discipline.

Pay: $90,000.00 - $110,000.00 per year

Work Location: In person

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