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    Job · 16214854

    Pearson logo

    Software Engineer III

    Pearson · Chennai · onsite · Posted 44d ago

    Undisclosed2–5 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary

    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.

    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 and Java / 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

    • 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


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    CdcAutomationData ingestionData Lakehousecloud platformscloud technologiesbi toolsdata platformsamazon web servicesapache airflowbigqueryAnalyticsCloud DataDatabricksData EngineeringcloudData GovernanceMicrosoft AzureGoogle ComposerData PipelineArtificial Intelligence

    About Pearson

    Pearson logo

    Pearson

    Education & Training

    10000-50000

    employees

    1844

    182 years old

    London

    United Kingdom

    About

    Pearson delivers educational content and digital services globally, aiming to improve learners' skills and employability in a dynamic work environment.

    Industries

    Education & TrainingInternet

    Employee ratings

    144 reviews

    3.6/ 5

    Culture

    3.4

    Career growth

    2.9

    Work-life

    3.8

    Employees rate it well for

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