Google Big Query - Senior Manager

Job Title: - 12-15yrs, Google Big Query

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 BigQuerys 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:

12+ 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.