Software Engineer III

Pearson; Chennai District; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Pearson is seeking a Data Platform Reliability Engineer to join the Global Data team in Chennai. The role focuses on reliable, scalable, self-service data platforms using Google BigQuery Lakehouse architectures and distributed pipelines.

You will support production data products, improve observability, and drive automation and GenAI-driven capabilities for a better user experience.

Qualifications

• 3–4 years of experience in data engineering / data platform support.
• Strong hands-on experience with Google BigQuery, GCS, Composer.
• Experience with data lakehouse architectures (BigQuery, DBT).
• Proficiency in SQL and Python/Java.
• Experience with cloud platforms (GCP preferred; AWS/Azure a plus).
• Familiarity with data governance and metadata management tools.

Responsibilities

• Leverage AI/GenAI tools to improve data discovery, metadata generation, and operational efficiency.
• Monitor and troubleshoot data pipelines, ingestion, and transformation workflows.
• Enable self-service data access for business users through datasets, docs, and tools.
• Automate repetitive support tasks using scripting and platform-native capabilities.
• Collaborate with engineering, analytics, and business teams to resolve data issues and improve platform usability.
• Provide support for enterprise data platforms, ensuring high availability and reliability.
• Support data governance initiatives, including metadata, lineage, and cataloging.
• Participate in incident management, root cause analysis, and continuous improvement.

Skills

BigQuery

GCS

Composer

SQL

Python

Java

Airflow

dbt

GCP

Data governance

Tools

Snowflake

Databricks

Qlik

Job description

Role: Software Engineer III Location: Chennai (Hybrid - 3 days in office per week)

Role Overview

We are looking for a Data Platform Reliability Engineer to join our Global Data team. This role focuses on enabling reliable, scalable, and self-service data platforms built on modern cloud technologies such as Google BigQuery Lakehouse architectures, and distributed data pipelines.

You will play a key role in supporting production data products, improving platform observability, and empowering users through automation, AI-driven capabilities, and self-service solutions.

Key Responsibilities

• Leverage AI/GenAI tools to improve data discovery, metadata generation, and operational efficiency
• Monitor and troubleshoot data pipelines, ingestion, and transformation workflows
• Enable self-service data access for business users through well-defined datasets, documentation, and tools
• Automate repetitive support tasks using scripting and platform-native capabilities
• Collaborate with engineering, analytics, and business teams to resolve data issues and improve platform usability
• Provide support for enterprise data platforms, ensuring high availability and reliability
• Support data governance initiatives, including metadata, lineage, and cataloging
• Participate in incident management, root cause analysis, and continuous improvement efforts

Required Skills & Experience

• 3–4 years of experience in data engineering / data platform support
• Strong hands-on experience with Google BigQuery, GCS, Composer
• Experience working with data lakehouse architectures (e.g., BigQuery, DBT)
• Good understanding of data ingestion and transformation tools (e.g., Airflow, Composer, Informatica CDC, dbt, or similar)
• Proficiency in SQL an dJava / Python
• Experience with cloud platforms (GCP preferred; AWS/Azure is a plus)
• Familiarity with data pipeline monitoring and troubleshooting
• Basic understanding of data governance and metadata management tools (e.g., Collibra or similar)

Preferred Skills

• Experience Snowfalke,Databricks ,Qlik
• Exposure to AI/ML or GenAI tools in data workflows
• Knowledge of Looker / Tableau / Power BI or similar BI tools
• Understanding of cost optimization (FinOps) in cloud data platforms

What You Will Bring

• Strong problem-solving and analytical mindset
• Passion for improving platform reliability and user experience
• Excellent communication and collaboration skills

Why Join Us

• Build and scale next-gen cloud data platforms powering enterprise-wide analytics
• Join Pearson, a global leader transforming lives through learning and innovation
• Work hands-on with GenAI, AI-powered data engineering, and intelligent automation
• Shape the future of self-service data, data products, and observability at scale
• Collaborate with high-performing global teams solving real-world, high-impact problems
• Accelerate your career in a fast-evolving, innovation-driven data ecosystem

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Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [e-mail].

Job: Engineering

Job Family: TECHNOLOGY

Organization: OCTO

Schedule: FULL_TIME

Workplace Type: Hybrid

Req ID: 25730