Forward Deployed Engineer

This is remote. Applicants India-based only.

The candidate should be highly hands-on, comfortable working in ambiguous environments, and capable of independently owning solutions from requirement gathering through development, deployment, and production support.

Key Skills & Experience:

• Strong hands-on expertise in GCP, particularly BigQuery and Cloud Storage (GCS)
  
• Excellent SQL skills, including complex queries, data transformation, reconciliation, optimization, and performance tuning
  
• Strong experience designing and developing ETL/ELT data pipelines
  
• Strong understanding of data warehousing, data modeling, and data integration
  
• Experience with BigQuery partitioning, clustering, incremental processing, and cost optimization
  
• Strong programming skills in Python and familiarity with Bash/Shell scripting
  
• Experience integrating data from databases, APIs, files, and cloud platforms
  
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data and production issues
  
• Ability to quickly understand unfamiliar data environments and develop practical solutions
  
• Strong communication skills with the ability to work directly with customers, business stakeholders, and technical teams
  
• Ability to work independently while also contributing effectively as part of a team
  

Preferred/Good to Have:

• Experience with GCP services such as Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Run, IAM, and Cloud Composer/Airflow
  
• Experience with Dataform or dbt
  
• Exposure to AWS services such as S3, Glue, Redshift, Lambda, and IAM
  
• Knowledge of PySpark
  
• Experience with data quality, reconciliation, and validation frameworks
  
• Experience with CI/CD, Git, Terraform, and cloud migrations
  
• Experience working in customer-facing or consulting environments
  
• Exposure to multi-cloud data integration and migration projects
  

Roles & Responsibilities:

• Work directly with customers and stakeholders to understand business problems, data requirements, and technical challenges
  
• Translate ambiguous requirements into practical, scalable, and production-ready data solutions
  
• Design and develop data pipelines and solutions using GCP, BigQuery, SQL, and Python
  
• Analyze customer data, identify data issues and gaps, and recommend appropriate solutions
  
• Build and optimize BigQuery-based data models and SQL transformations
  
• Integrate data from multiple sources including databases, APIs, files, and cloud platforms
  
• Rapidly prototype and validate solutions, and take successful implementations through production deployment
  
• Perform data validation, reconciliation, integration testing, and troubleshoot production issues
  
• Own assigned solutions end-to-end, including development, deployment, monitoring, and support
  
• Work closely with internal engineering, architecture, product, and customer teams to deliver solutions
  
• Identify opportunities to improve performance, scalability, reliability, and cloud cost
  
• Participate in technical design and code reviews and promote engineering best practices
  
• Document solutions, technical decisions, data mappings, and operational processes
  
• Provide technical guidance to other engineers and contribute to knowledge sharing
  
• Support AWS-based integrations and cloud migration initiatives where required