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Brillio 22mo ago

Senior Data Engineer - R01561387

IndiaIndia·BangaloreEmployeesenior
Data ScienceData EngineeringData EngineerDataData & AI
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Quick Summary

Overview

Senior Data Engineer DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, PLSQL, T-SQL, Stored Procedures Snowflake Engineering: Data Engineer Job Summary We are seeking a…

Key Responsibilities

Design, develop, and maintain DBT models, transformations, tests, and optimized SQL code for analytics and reporting use cases. Build and enhance scalable ETL/ELT pipelines using DBT and complementary data engineering tools.

Technical Tools
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Senior Data Engineer
  • DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, PLSQL, T-SQL, Stored Procedures
  • Snowflake Engineering: Data Engineer

    • We are seeking a Senior Data Engineer with strong expertise in DBT, Python, and SQL to design, develop, and optimize scalable data pipelines and ETL processes. The ideal candidate will have hands-on experience working with modern data stacks, particularly Snowflake, and will play a key role in building reliable analytics and reporting solutions on cloud platforms.

    This role demands strong problem-solving skills, deep understanding of data warehousing concepts, and the ability to collaborate closely with business stakeholders to translate requirements into robust technical solutions.

    Responsibilities

    ~1 min read
  • →Design, develop, and maintain DBT models, transformations, tests, and optimized SQL code for analytics and reporting use cases.
  • →Build and enhance scalable ETL/ELT pipelines using DBT and complementary data engineering tools.
  • →Write complex, high-performance SQL queries to process, analyze, and transform large datasets.
  • →Develop clean, efficient, and scalable code in Python, with strong hands-on experience using Pandas and NumPy.
  • →Optimize data pipelines for performance, scalability, and cost efficiency, especially in cloud-based data warehouses.
  • →Troubleshoot and resolve ETL failures, performance bottlenecks, and data quality issues.
  • →Develop and maintain scripts using Unix Shell scripting, Python, and related tools for data extraction, transformation, and loading.
  • →Write, tune, and support Snowflake SQL and contribute to Snowflake implementation and optimization initiatives.
  • →Work with workflow orchestration tools such as Apache Airflow (or similar platforms) to manage and monitor data pipelines.
  • →Integrate data solutions with user-facing applications where required.
  • →Collaborate with business, analytics, and technical stakeholders to gather requirements and deliver reliable, interpretable data solutions.
  • →Implement data validation, testing, and quality checks within DBT workflows to ensure accuracy and reliability.

    • Requirements

    ~1 min read
  • 6+ years of overall IT experience, with strong focus on data engineering.
  • Proven hands-on experience with DBT (Data Build Tool) including model development, transformations, and testing.
  • Strong programming expertise in Python (mandatory).
  • Advanced proficiency in SQL, including writing and optimizing complex queries on large datasets.
  • Hands-on experience designing, building, and maintaining ETL/ELT pipelines.
  • Experience with Unix/Linux shell scripting.
  • Solid understanding of data warehousing concepts, dimensional modeling, and best practices.

    • Nice to Have

    ~1 min read
  • Experience with Snowflake implementation, performance tuning, and cost optimization.
  • Knowledge or hands-on exposure to Salesforce CDP.
  • Experience using Airflow or other orchestration frameworks.
  • Exposure to cloud platforms such as AWS, GCP, or Azure.
  • Experience working with cloud storage solutions like Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage.
  • Strong analytical and problem-solving skills
  • Comfortable working in fast-paced, data-driven environments
  • Ability to own data pipelines end-to-end
  • Strong collaboration and communication skills

    • Location & Eligibility

    Where is the job
    Bangalore, India
    Hybrid — some on-site time required
    Who can apply
    IN
    Listed under
    India

    Listing Details

    Posted
    February 23, 2026
    First seen
    March 26, 2026
    Last seen
    May 23, 2026

    Posting Health

    Days active
    58
    Repost count
    0
    Trust Level
    25%
    Scored at
    May 23, 2026

    Signal breakdown

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