JobHabor
Location
Chennai, Tamil Nadu, India
Workplace
Hybrid
Employment
Full Time
Salary
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Posted 15d ago

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

#LI-AK1

Skills

  • BigQuery
  • Generative AI
  • Google Cloud Storage
  • dbt
  • Airflow
  • Informatica
  • SQL
  • Python
  • GCP
  • AWS
  • Azure
  • Databricks
  • Looker
  • Tableau
  • Power BI

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