Category Software Engineering Location Bangalore India Job ID 2025-70642 Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve With approximately 100 million customers worldwide using products such as TurboTax Credit Karma QuickBooks and Mailchimp we believe that everyone should have the chance to prosper We never stop working to find new innovative ways to make that possible Job Overview Join Intuit s Business Intelligence BI Platform team as we reimagine the next generation of scalable intelligent data infrastructure We serve over 240TB of data 2 billion records daily and deliver 200 million report requests through 20 complex pipelines supporting enterprise and mid-market customers on their most critical decisions We are seeking a Senior Data Engineer to join our Data Platform team with a focus on designing robust data models building scalable ETL ELT pipelines and enabling trustworthy high-quality data for analytics reporting and intelligent systems In this role you will play a critical part in evolving our data architecture ensuring data quality and building integrations that power analytics and decision-making across the business Responsibilities Design and implement scalable ETL and ELT pipelines using tools like Apache Spark DBT and Kafka Own the development of data models that support reporting analytics and machine learning use cases Build and maintain historical delta and snapshot tables optimized for large-scale data processing and access patterns Work with columnar storage formats e g Parquet ORC to optimize performance and storage efficiency Integrate and automate data validation and quality checks ensuring trust and accuracy across pipelines Partner with data platform and product teams to design and deliver seamless data integrations across systems and domains Contribute to data governance practices schema evolution and performance tuning Qualifications 6 years of hands-on experience in data engineering or data platform development Strong experience in building and optimizing data pipelines using Spark and Flink Proficiency with DBT for transformation workflows and Kafka for event-driven ingestion Solid understanding of data modeling principles and best practices in relational and analytical systems Proven track record in creating and maintaining historical delta and snapshot data structures Familiarity with data quality frameworks and tools for validation and anomaly detection Experience working with columnar file formats and scalable data storage systems Strong coding skills in Python or Scala and familiarity with SQL at scale Bachelor s or Master s degree in Computer Science Data Engineering or a related field

📌 Senior Data Engineer (Karnataka)
🏢 Intuit
📍 Karnataka