Senior Data Engineer GCP | BigQuery | Python | SQL

Job Description-:

We are hiring for one of our client.

We are seeking a Forward Deployed Engineer with 5-8 years of hands-on experience in Data Engineering, with strong expertise in GCP, BigQuery, and SQL. The ideal candidate will work closely with customers and internal teams to understand complex data and business requirements, design practical solutions, and deliver them into production.

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.

Experience Required - 5-8 years of hands-on experiencein Data Engineering

Compensation Range- Upto 8LPA

This is remote. Applicants India-based only

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