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 setting,

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 fast-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 (Bangalore Metropolitan Area)
🏢 eliterecruitments
📍 Bangalore Metropolitan Area