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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