Data Analyst
ExpertsHub.ai
Bangalore, India Full Time Data & Analytics Jobs India
Job Description
About Role
We are seeking a highly skilled Data Analytics Engineer for a 6-month contract based in our Bengaluru (Omkar Nagar) office. This is a critical role focused on migrating and maturing our data infrastructure within a high-velocity environment.
Position Overview
- Experience: 5+ years of relevant experience
- Location: Bengaluru, Omkar Nagar (On-site, 5 days/week)
- Duration: 6 Months
- Core Tech Stack: dbt, Google Cloud Platform (GCP), BigQuery, Python
Key Responsibilities
- Model Migration & Ownership: Execute the end-to-end migration of legacy data models into dbt, ensuring all models are production-ready, documented, and rigorously tested.
- Scalable Architecture: Design and maintain a robust data layer in BigQuery tailored for Finance, Lending Ops, and Engineering stakeholders.
- Stakeholder Empowerment: Develop high-impact dashboards and self-service reporting tools to facilitate autonomous data exploration.
- Standardization: Establish and enforce data modeling standards and conventions within the Lending data domain.
- Cross-Functional Collaboration: Partner with Finance and Ops teams to translate complex reporting needs into reliable, reusable data assets.
- Pipeline Engineering: Utilize Python to build tooling for data transformations, pipeline automation, and workflow efficiency.
- Agile Execution: Operate within an agile framework—shipping incrementally, gathering feedback, and thriving in a fast-paced, evolving landscape.
Professional Requirements
- Specialized Expertise: Demonstrated success as an Analytics or Data Engineer with mastery in dbt (refactoring, testing, and documentation).
- Cloud Proficiency: Advanced hands-on experience with Google Cloud Platform and BigQuery.
- Engineering Rigor: Strong foundation in software engineering best practices, including version control, CI/CD, and peer code reviews.
- Architectural Thinking: A deep instinct for data modeling and schema design over simple query execution.
- Operational Agility: Comfortable with ruthlessly prioritizing tasks in short-cycle agile sprints and utilizing AI-assisted development for delivery acceleration.
- Regulatory Context: Previous experience navigating regulated financial services environments and data governance requirements.
Apply Here:-https://freelancer.expertshub.ai/auth/sign-up?marketingCode=EXPMRJEN002
Posted April 26, 2026