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Evonence

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2.9

based on 7 Reviews

3 Evonence Jobs

Google Data Engineering Architect

Evonence India pvt ltd

2.9

based on 7 Reviews

8-13 years

Pune

1 vacancy

Google Data Engineering Architect

Evonence

posted 3+ weeks ago

Job Role Insights

Key skills for the job

Computer Science Python SQL Machine Learning Data Processing Open Source

+ 4 more

Job Description

We are seeking a highly skilled and experienced Data Engineering Architect to join our growing team. As a Data Engineering Architect, you will play a critical role in designing, building, and scaling Googles massive data infrastructure and platforms. You will be a technical leader and mentor, driving innovation and ensuring the highest standards of data quality, reliability, and performance.

Responsibilities:

Design and Architecture:

Design and implement scalable, reliable, and efficient data pipelines and architectures for various Google products and services.
Develop and maintain data models, schemas, and ontologies to support diverse data sources and use cases.
Evaluate and recommend new and emerging data technologies and tools to improve Googles data infrastructure.
Collaborate with product managers, engineers, and researchers to define data requirements and translate them into technical solutions.

Data Processing and Pipelines:

Build and optimize batch and real-time data pipelines using Google Cloud Platform (GCP) services such as Dataflow, Dataproc, Pub/Sub, and Cloud Functions.
Develop and implement data quality checks and validation processes to ensure data accuracy and consistency.
Design and implement data governance policies and procedures to ensure data security and compliance.

Data Storage and Management:

Design and implement scalable data storage solutions using GCP services such as BigQuery, Cloud Storage, and Spanner.
Optimize data storage and retrieval for performance and cost-effectiveness.
Implement data lifecycle management policies and procedures.

Team Leadership and Mentorship:

Provide technical leadership and guidance to data engineers and other team members.
Mentor and coach junior engineers to develop their skills and expertise.
Foster a culture of innovation and collaboration within the team.

Qualifications:

Bachelors or Masters degree in Computer Science, Engineering, or a related field.
8+ years of experience in data engineering or a related field.
Strong understanding of data warehousing, data modeling, and ETL processes.
Expertise in designing and implementing large-scale data pipelines and architectures.
Proficiency in SQL and at least one programming language such as Python or Java.
Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
Experience with open-source data processing frameworks such as Hadoop, Spark, and Kafka.
Excellent communication, interpersonal, and collaboration skills.

Preferred Qualifications:

Experience with data governance and data quality management.
Experience with machine learning and data science.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Employment Type: Full Time, Permanent

Read full job description