Data Jobs

Primary skills – Knowledge and Hands on Experience with GCP cloud technology including Big Query, Compute Engine, Cloud Storage, Google Kubernetes Engine, Google Cloud deployment manager, IAM, VPC, Cloud SQL, Cloud Spanner and Cloud Pub/Sub. Should have experience on Google Cloud Dataproc with data structures, data modeling, and software architecture.

The ideal candidate will bring extensive experience across data engineering, data and solution architecture, data integration, master data management, data quality, enterprise data warehousing, and analytics. Establish strong data quality frameworks including validation, monitoring, and automated testing.

Data Analyst (SQL, Excel, Python) Contract Sydney We're looking for a Data Analyst with strong analytical capability and a pragmatic mindset to support critical data initiatives. The Role Analyse large, complex datasets using SQL, Excel, and Python to support decision-making Perform data validation, reconciliation, and quality checks across multiple systems Identify data issues, inconsistencies, and gaps — and work through solutions with technology, risk, and business teams Support reporting and insights for senior stakeholders, ensuring data is accurate, traceable, and fit-for-purpose Contribute to data remediation activities where required, including impact analysis, correction logic, and validation of fixes Document findings, assumptions, and outcomes to support governance, audit, and regulatory expectations Skills/Experience Required Strong hands-on experience with SQL (complex queries, joins, reconciliations) Advanced Excel skills (large datasets, formulas, reconciliation models) Working experience with Python for data analysis, validation, or automation Solid understanding of data quality, data integrity, and analytical best practices Ability to explain data findings clearly to both technical and non-technical stakeholders Experience working in large, complex organisations or enterprise programs is highly regarded Bonus points for Previous remediation project experience (regulatory programs & migrations) Exposure to financial services, banking, or regulated environments Experience reconciling data across multiple source systems Familiarity with governan...

• Translate business needs into detailed technical specifications and data models, collaborating with data architects and delivery teams. • Validate data solutions against requirements, ensuring accuracy, usability, and compliance with regulatory standards.

You will schedule assignments, monitor, review and report project status regularly in order to manage project risks and ensure successful project delivery and implementation. Project Management fundamentals Project Lifecycles on development & maintenance projects, estimation methodologies, quality processes.

Description Expert in Google Cloud Platform (GCP) Skills - Compute, Hosting, Storage, Networking and Security Proficient in. NET Core, .NET Framework, & Web Development Skills Experience migrating from Azure to GCP will be good to have Proficient in Google Cloud Spanner and .NET Spanner Integration Experience with Redis / distributed caching Strong CI/CD experience (Azure DevOps or equivalent) Experience with Apigee and/or Axway API management platforms Solid understanding of cloud security, networking, and IAM concepts Solid understanding of cloud security, networking, and IAM concepts Understanding of HTML, CSS, JavaScript Experience 16-18 Years Skills Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Big Data, GCP-Apps About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley.

Roles & Responsibilities Key Responsibilities Business Consulting, Problem Formulation & Proposal Development Engage with business teams and leadership to clarify, shape, and structure fuzzy business problems into clear analytical frameworks. Review work products for statistical rigor and business relevance.

You will collaborate closely with data architects, data engineers, data scientists, and enterprise architects to ensure seamless data flow across systems, domains, and platforms. - Partner with Data & AI leadership to align integration architecture with business goals and data strategies.

About the Role: We are seeking skilled Data Annotators to work on Indian language voice datasets, ensuring high-quality transcription, annotation, and validation of speech data. Language-Specific Expertise: Work on dialect variations, colloquialisms, and regional language nuances.

Extensive experience in designing technology components for data engineering solutions and defining solution architectures and reference architectures leveraging cloud services. Must have experience in application / data warehouse modernization projects and creating new Big Data & Data Engineering solutions on public cloud platforms.

Responsibilities You will collaborate with engineers, data scientists, subject matter experts, and customers in the full-stack implementation of data products for mortgage capital markets applications. You will help define and maintain derived data layers that support a collection of related analytics products.

Your Role And Responsibilities As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.