Feeny
Brillio

Lead Data Engineer - R01553055 at Brillio (Bengaluru, India)

Brillio· Bengaluru, India·

Role details

Work type
Hybrid

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.

Why work at Brillio

  • Culture: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
  • Work environment: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
  • Learning & growth: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
  • Remote / hybrid / office: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
  • Benefits: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
  • Interview process: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.

Application questions