Product Support Analyst

Equifax; Pune District; On-site; INR 900,000 - 1,400,000; Full time

Benefits offered by this job

Hybrid work

Healthcare package

Paid time off

Online learning platform

Job summary

Equifax invites a Product Support Analyst to join the Technical Fulfillment team in Pune. You will configure, operate and monitor a high-volume batch data delivery platform on Google Cloud, ensuring accurate data processing and client satisfaction through robust quality controls.

Ideal candidates hold a CS/IT degree with experience in Airflow, YAML configurations, and scripting. The role emphasizes security, SDLC adherence, and cross-functional collaboration for reliable data delivery.

Qualifications

• Bachelor's degree in Computer Science, Information Technology or equivalent.
• Solid understanding of data processing concepts and batch delivery systems.
• Experience with configuration files such as YAML.
• Familiarity with GCP services and related data tooling.
• Experience with API testing/tools for data interfaces.
• Basic scripting skills (e.g., shell) are an asset.

Responsibilities

• Configure and execute data processing workflows per procedures and client specs.
• Deploy and manage data pipelines orchestrated via Airflow.
• Use and extend Airflow templates for deployment consistency.
• Monitor jobs to ensure timely, accurate data delivery.
• Perform data quality checks to ensure integrity of processed data.
• Diagnose issues in GCP config, scheduling, and dependencies.
• Follow security protocols and SDLC guidelines for deployments.
• Maintain configurations and issues documentation; stay updated on platform changes.
• Collaborate with Engineering and Data Operations to improve delivery processes.

Skills

GCP exposure

Batch data processing

Airflow

YAML

Shell scripting

Python

Java

On-call support

Education

Bachelor's degree in CS/IT

Tools

Apache Airflow

YAML

GCP tools

Cloud Monitoring

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Synopsis of the role:
Ready to work on the front lines of data delivery, leveraging the power of Google Cloud? If you're a detail-oriented problem-solver who enjoys working with sophisticated technology and contributing to a mission-critical platform, this role is for you!
As a Product Support Analyst within the Technical Fulfillment team, you’ll configure, operate and monitor our high-volume batch data delivery platform built on Google Cloud. You will play a key role in processing and enriching financial data for our clients, ensuring seamless and precise execution with a strong focus on quality and reliability gaining invaluable experience in a dynamic and evolving technological landscape.
What you’ll do:

Platform Configuration and Operation:

Configure and execute data processing workflows on our batch delivery platform according to established procedures and client specifications.

Deploy and manage complex data pipelines orchestrated via Apache Airflow.

Leverage and extend Standard Airflow DAG Templates to ensure deployment consistency and rapid iteration across environments.

Monitor the execution of data processing jobs, identifying and addressing any issues to ensure timely and accurate delivery.

Perform data quality checks and validation to ensure the integrity and accuracy of processed information.

Diagnose and resolve complex configuration, scheduling, and dependency issues within the GCP platform and its associated infrastructure.

Adhere to established security protocols and maintain the highest standards of data security and privacy in all configuration activities.

Follow SDLC (Software Development Life Cycle) guidelines for any configuration deployments or changes.

Maintain accurate records of configurations, processes, and any issues encountered.

Stay up-to-date with platform updates, new features, and relevant technical information.

Contribute to the identification of opportunities for process improvement and automation within the configuration workflows.

Assist in the creation and maintenance of our configuration documentation and knowledge base articles.

Client Focus:

Understand the importance of accurate and timely data delivery for our clients.

Support the team in addressing client inquiries and resolving fulfillment-related issues.

Take ownership of precise, high-stakes data configurations that directly impact client trust and business outcomes.

Collaborate with cross-functional partners (including Engineering and Data Operations) to resolve issues and improve delivery processes.

What experience you need:

Bachelor's degree in computer science, information technology or equivalent.

Strong analytical, detail-oriented, and proactive approach to problem solving.

Familiarity with data processing concepts and batch delivery systems.

Experience working with configuration files (e.g., YAML).

Understanding of cloud computing concepts, ideally with some exposure to GCP.

Familiarity with different file encoding formats.

Experience with API tools for testing and understanding data interfaces.

Basic scripting skills (e.g., shell scripting) are an asset.

What could set you apart:

Ability to verify issues by testing in higher environments, be on-call support for Production Incidents as needed.

Experience with GCP services such as Dataflow, Composer, Cloud Storage, or BigQuery.

Familiarity with monitoring and logging tools within a cloud environment (e.g., Google Cloud Logging and Monitoring)

Proficiency in scripting (Python) or object-oriented programming languages (Java).

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Equifax is a global data and analytics company that empowers informed decision-making for businesses and government agencies, supporting economic progress across 24 countries.

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Location Hybrid - pune, Maharashtra, India