Dreamix

Android Engineer

• Guide the mobile technical vision, ensuring alignment with peers, and with architectural and long-term product goals.
• Champion scalability, performance, and maintainability across the mobile code base.
• Lead the teams feature design activities, ensuring end-to-end technical risks are managed.
• Proactively identify opportunities to enhance developer productivity, system reliability, and app performance.
• Guide teams in adopting modern Android paradigms (Jetpack Compose, modularization, reactive programming, multiplatform opportunities).
• Evaluate emerging technologies, frameworks, and tools to continuously evolve our Android engineering capabilities.
• Provide technical mentorship to senior and mid-level engineers, raising the overall capability of the Android community of practice.
• Influence engineering practices beyond your team, ensuring consistency, code quality, and knowledge sharing across the organisation.
• Represent Android engineering in cross-functional forums, influencing product direction with technical insights.
• Partner with Product Owners, Architects, and Engineering Managers to develop solutions that balance delivery speed with quality.
• Help the team plan their work effectively, make delivery commitments that reflect their capabilities and monitor and assist delivering on those commitments.
• Lead critical initiatives and features.
• Oversee observability, resilience, and operational excellence for mobile apps (in conjunction with your iOS counterparts).
• Lead initiatives to reduce technical debt and improve code base maintainability.
• Guide the evolution of CI/CD pipelines, automated testing, and release strategies.
• Take ownership of resolving complex production issues and preventing recurrence through systemic improvements.

Principal Android Engineer

QA Engineer

• Prepare the process of test planning, coverage and estimation within a small to medium team
• Collaborate with the development team to understand software requirements and design comprehensive test scenarios and cases
• Maintains and extends the available automation testing framework
• Develop and maintain automated test scripts for front-end & back-end testing
• Execute automated and manual tests, analyze results, and report defects, providing clear and detailed documentation
• Continuously identify areas for test improvement and implement innovative approaches to enhance efficiency and effectiveness
• Participate in code reviews and contribute to the overall quality and stability of the software
• Stay up-to-date with industry best practices and emerging technologies related to automation testing
• Research new tools and technologies
• Supports and extends the existing CI/CD pipelines in their test provisioning and execution part

Senior Automation QA Engineer

• Validate end-to-end data pipelines from source systems to data marts.
• Test batch data loads.
• Validate transformations, aggregations, and derived metrics.
• Ensure data completeness, accuracy, and consistency across layers.
• Understanding of data governance, privacy, and PII handling
• Write complex SQL queries to validate fact and dimension tables in Redshift.
• Validate data models (fact/dimension, keys, relationships)
• Perform reconciliation between raw, curated, and reporting layers.
• Validate business KPIs and metrics against source systems and definitions.
• Validate data ingestion in S3 (file counts, schema, partitions, formats)
• Review Glue job and Lambda execution logs to troubleshoot data issues.
• Monitor pipeline health, failures, and data refresh SLAs.

Data QA Engineer

Data Engineer

• Design, develop, and maintain scalable data pipelines for processing and analyzing large volumes of data
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data integrity and quality
• Utilize your expertise in Python for scripting and coding tasks related to data processing and analysis
• Understand and implement business rules in python for data transformation
• Implement ETL processes to integrate data from various sources into data warehouse or data lake solutions
• Optimize big data storage and processing
• Troubleshoot and resolve data-related issues, ensuring the reliability and performance of our data infrastructure
• Follow emerging trends and technologies in the data engineering space and make recommendations for continuous improvement
• Optimize and tune data workflows for maximum efficiency and scalability.
• Implement data security best practices to protect sensitive information and ensure compliance with data protection regulations.
• Develop and maintain API integrations to facilitate seamless data exchange between systems and applications

Principal Android Engineer

Senior Automation QA Engineer

Data QA Engineer

Senior Data Engineer