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Active15mo ago

Lead Data Engineer

Brillio·📍 Bengaluru, Karnataka, India

Employment

Full-Time

Work mode

Hybrid

Experience

2+ years

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

Lead Data Engineer Primary Skills
  • GCP, Big Query, Python, Airflow, SQL, DBT
    • Job requirements
  • About the Role
  • We are seeking a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) and BigQuery to lead cloud modernization initiatives, develop scalable data pipelines, and enable real-time data processing for enterprise-level systems. This is a high-impact role focused on driving the transformation of legacy infrastructure into a robust, cloud-native data ecosystem.

  • Key Responsibilities
  • 1. Data Migration & Cloud Modernization
  • Analyze legacy on-premises and hybrid cloud data warehouse environments (e.g., SQL Server).
  • Lead the migration of large-scale datasets to Google BigQuery.
  • Design and implement data migration strategies ensuring data quality, integrity, and performance.
  • 2. Data Integration & Streaming
  • Integrate data from various structured and unstructured sources, including APIs, relational databases, and IoT devices.
  • Build real-time streaming pipelines for large-scale ingestion and processing of IoT and telemetry data.
  • 3. ETL / Data Pipeline Development
  • Modernize and refactor legacy SSIS packages into cloud-native ETL pipelines.
  • Develop scalable, reliable workflows using Apache Airflow, Python, Spark, and GCP-native tools.
  • Ensure high-performance data transformation and loading into BigQuery for analytical use cases.
  • 4. Programming & Query Optimization
  • Write and optimize complex SQL queries, stored procedures, and scheduled jobs within BigQuery.
  • Develop modular, reusable transformation scripts using Python, Java, Spark, and SQL.
  • Continuously monitor and optimize query performance and cost efficiency in the cloud data environment.

  • Required Skills & Experience
  • 5+ years in Data Engineering with a strong focus on cloud and big data technologies.
  • Minimum 2+ years of hands-on experience with GCP, specifically BigQuery.
  • Proven experience migrating on-premise data systems to the cloud.
  • Strong development experience with Apache Airflow, Python, and Apache Spark.
  • Expertise in streaming data ingestion, particularly in IoT or sensor data environments.
  • Strong SQL development skills; experience with BigQuery performance tuning.
  • Solid understanding of cloud architecture, data modeling, and data warehouse design.
  • Familiarity with Git and CI/CD practices for managing data pipelines.

  • Preferred Qualifications
  • GCP Professional Data Engineer certification.
  • Experience with modern data stack tools like dbt, Kafka, or Terraform.
  • Exposure to ML pipelines, analytics engineering, or DataOps/DevOps methodologies.

  • Why Join Us?
  • Work with cutting-edge technologies in a fast-paced, collaborative environment.
  • Lead cloud transformation initiatives at scale.
  • Competitive compensation and benefits.
  • Remote flexibility and growth opportunities.

    • About this listing

    • Source: Brillio's official careers site (via Lever) · last confirmed on the source 7 Nov 2026
    • Posted 17 Jul 2025

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    Role market pulse

    How Data Engineer demand looks in India

    60/100 · steady

    Live jobs

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    30d movement

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    What they are looking for

    Skills & requirements

    python →java →sql →gcp →git →terraform →warehouse →

    Qualification

    Preferred Qualifications GCP Professional Data Engineer certification

    Department · AI & Data Engineering

    Hiring company

    Brillio

    Technology

    Brillio helps Fortune 1000 companies move AI from pilot to production with ADAM, agentic AI, data engineering, cloud and CX. OpenAI Select Partner.

    Company profile →Open jobs →Company site ↗

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