Sr. BI Engineer

Job Description

The Global Data Team With data and AI being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data and AI / Machine Learning on behalf of consumers, businesses, and communities is key to our future. We at Visa have a bold vision to continue to grow and accelerate our data and AI / ML-related businesses and capabilities.

Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to the enterprise’s data and AI business strategy, platforms and products, solutions, as well as our policy and governance. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Team is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.

About the role

You will be an individual contributor in BI Engineering team within Visa’s Global Data organization, reporting to the Lead, Data Insights Studio.

You will operate from our Global Shared Services hub in Bengaluru, partnering with internal analytics teams to deliver high-impact BI solutions across products and markets.

You will turn Visa’s rich datasets (billions of cards, hundreds of billions of transactions annually) into actionable insights that drive business value.

Primary responsibilities

Partner with the BI Engineering Manager and internal analytics stakeholders to turn ambiguous needs into measurable outcomes and data products.

Visualize data with the right charts and narratives to deliver actionable insights.

Design, build, and maintain databases and data models for dashboards.

Test, and optimize data warehouses / lakes, including metadata and repositories for dashboards and reports.

Build reliable ETL / ELT pipelines to ingest and standardize data from diverse sources.

Develop BI solutions, semantic models, and KPI measures from raw data.

Create and maintain interactive dashboards and reports in leading BI tools.

Lead QA and bug triage, documenting issues and prioritizing fixes by business impact.

Tune performance across data models, queries, and dashboards for speed and reliability.

Automate extraction, transformation, testing, and deployment with CI / CD to accelerate releases.

Enforce data security, compliance, and access controls across BI platforms.

Administer BI / visualization platforms, monitor health, and act on usage insights.

Deploy dashboards to production per user requirements and VISA standards.

Document architectures, processes and technical / data; keep all artifacts current and accessible through version control.

Qualifications

Bachelor’s degree in computer science, Engineering, or a related field.

Proven experience as a BI Engineer / data visualization analyst or similar role for 3-5+ years

Familiarity with shared services, consulting, financial services is a strong plus.

Knowledge of data visualization tool ecosystem

Technical skill

BI Tool :

Expert in Tableau and Power BI, including enterprise dashboarding, advanced analytics, and embedded delivery.

Programming & Data Processing :

Strong SQL, PySpark; experience with Hadoop, AWS EMR, NoSQL databases.

Data Pipelines & Orchestration : Proficient with Apache Airflow for workflow orchestration, data quality, and performance optimization.

DevOps for BI : Skilled in Git / GitHub, CI / CD pipelines, and automated BI asset testing.

Front-End & Advanced Visualization : Familiar with React, micro‑frontends, and MicroStrategy

Strategic and Functional Excellence

Make insights usable-craft clear, performant dashboards and semantic layers that answer real business questions.

Guard the gate-enforce access controls, governance, and privacy by default across data and BI tools.

Automate - standardize and script data pipelines, testing, and deployments to reduce toil and errors

Ensure accuracy – apply automated validation, reconciliation, and monitoring to maintain integrity and consistency across data and reports, enabling trusted, confident decision‑making

A professional capacity for strong enthusiasm and accountability

High attention to detail and quality

Highly adaptive, comfortable working within a complex and often ambiguous, environment.

Creative thinker who thrives despite changing circumstances

Ability to make and keep strategic priorities on-track without distraction

Outstanding written, verbal, and presentation communications skills appropriate for a wide, global audience. Capable of summarizing complex issues into succinct messaging

Proactive and effective communicator. Experienced at presenting information at senior levels, facilitating group discussions and debate with the ability to influence across geographic and functional lines (whether virtual or in-person)

Strong business acumen and understanding of Visa and business models

Stakeholder Management

Strong interpersonal and leadership skills to influence and build credibility with senior leaders across a federated organization

Team-oriented, collaborative, diplomatic, and flexible, with proven ability to build strong working relationships with internal and external clients at all levels of management and work on complex issues within cross-functional teams

Self-starter who can responsibly advance work and is comfortable making sound, well-informed judgement calls for progress, without needless delays

An individual who is known for building deep and trusted relationships despite sometimes competing priorities

Open-minded and willing to listen to ideas and opinions from others. Able to look for new solutions when current processes don't work