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Brillio

Lead Data Engineer - R01553055

Bengaluru · Senior

Older listing - lower visibility likelyVerified listingPosted 445d ago

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86Overall
64Skills
97Experience

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Skills required

16 listed
Google Cloud Platform (GCP)Data MigrationRelational DatabasesApache AirflowQuery OptimizationQuery PerformanceApache SparkPython (Programming Language)+8 more
Google Cloud Platform (GCP)Data MigrationRelational DatabasesApache AirflowQuery Optimization

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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.

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    Two ways in

    Applicants who checked fit first are 3.1× more likely to hear back

    Your match scoreCalculated · locked
    86Overall
    64Skills
    97Experience

    Your score for this role already exists

    ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

    No credit card · 1 tap with Google

    Free · no signup

    Get tomorrow's jobs before you have to search

    Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

    Join WhatsAppJoin Telegram

    No spam. Just jobs and resources.

    Why people use ASAI

    Someone shared one job with you. ASAI keeps finding the rest.

    • Scored, not searched. Every role ranked against your actual profile.

    • Alerts as often as hourly. Reach new roles while the pile is still small.

    • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

    • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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