Hiring GCP Data Engineers having 6 years of experience for big4 firm. Location: Bangalore Job Summary: We are seeking a highly skilled Senior Google BigQuery Data Engineer to lead the design, development, and optimization of our data platform. The ideal candidate will have a deep understanding of BigQuery's architecture, capabilities, and best practices, including columnar storage, nested and repeated fields, and separation of compute and storage. A proven track record of delivering complex data warehousing solutions on the Google Cloud Platform (GCP) is essential. Responsibilities: • Architect, design, and implement scalable data solutions leveraging Google BigQuery as the core data warehouse platform, utilizing features such as partitioning, clustering, and materialized views for optimal performance. • Develop and optimize complex SQL queries and data pipelines using BigQuery for efficient data ingestion, transformation, and loading, including leveraging batch and streaming ingestion methods. • Utilize BigQuery ML or integrate with other GCP ML services to build predictive models and derive insights from data. • Implement data governance and security best practices within the BigQuery environment, including data encryption, access controls, and auditing. • Collaborate with data analysts and business stakeholders to understand data requirements and translate them into BigQuery-based solutions, considering factors like data volume, query complexity, and latency. • Mentor and guide junior data engineers in BigQuery best practices, including query optimization, performance tuning, and data modeling techniques. • Lead data warehousing projects focused on BigQuery implementation and optimization, considering cost-efficiency, scalability, and maintainability. Qualifications:



• 6 years of experience in data warehousing and business intelligence. • In-depth expertise in Google BigQuery, including advanced query optimization, performance tuning, and data modeling techniques. • Strong SQL skills and proficiency in Python or other scripting languages for data processing. • Proven experience in designing and implementing BigQuery data models and schemas, considering normalization, denormalization, and data partitioning strategies. • Hands-on experience with BigQuery data ingestion and extraction methods, including batch loading, streaming ingestion, and external tables. • Knowledge of other GCP services relevant to data engineering (e.g., Dataflow, Cloud Storage, Looker) and their integration with BigQuery. • Strong problem-solving, analytical, and communication skills. • Ability to work independently and collaboratively in a rapid-paced environment. • Preferred: Google Cloud certifications (e.g., Certified Data Engineer) and experience with machine learning or data science. Pre-Sales Support: • Cross functional collaboration to understand client requirements and design tailored solutions. • Prepare and deliver technical presentations and product demonstrations to potential clients. • Assist in the preparation of proposals and RFP responses, ensuring technical accuracy and feasibility. Project Delivery: • Manage and oversee the delivery of data analytics and data warehousing projects from inception to completion. • Ensure projects are delivered on time, within scope, and within budget. • Coordinate with cross-functional teams to ensure successful project execution and stakeholder satisfaction. • The ideal candidate should have managed and delivered complex large data sciences projects.

📌 GCP Data Engineer (India)
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📍 India