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 (Bengaluru)
🏢 eliterecruitments
📍 Bengaluru