This job offer is not available in your country.

Sr. Google Cloud Data Engineer

EvonencePune, Maharashtra, India

15 days ago

Job description

Experience : 8+ Years

Location : Pune

Notice Period- Immediate to 30 days

Role Description :

We are looking a highly skilled and experienced Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing, building, and scaling Google's 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 implement scalable, reliable, and efficient data pipelines and architectures across Google products and services.
Develop and maintain data models, schemas, and ontologies to support a variety of data sources and use cases.
Evaluate and recommend new data technologies and tools to improve infrastructure and capabilities.
Collaborate with product managers, engineers, and researchers to define data requirements and deliver robust technical solutions.
Build and optimize batch and real-time data pipelines using Google Cloud Platform (GCP) services such as Dataflow, Dataproc, Pub / Sub, and Cloud Functions.
Implement data quality checks and validation processes to ensure consistency and accuracy.
Design and enforce data governance policies to maintain data security and regulatory compliance.
Design and manage scalable storage solutions with GCP services including BigQuery, Cloud Storage, and Spanner.
Optimize data retrieval and storage strategies for performance and cost-efficiency.
Implement data lifecycle management practices and archival strategies.

Required Skills :

Strong knowledge of data warehousing, data modeling, and ETL development.

Proven expertise in designing and implementing large-scale data architectures and pipelines.

Proficiency in SQL and at least one programming language such as Python or Java.

Hands-on experience with GCP services like BigQuery, Dataflow, Dataproc, Pub / Sub, and Cloud Storage.

Familiarity with open-source data tools like Hadoop, Spark, and Kafka.

Excellent communication and collaboration skills.

Good to Have :

Experience with data governance, data quality frameworks, and compliance.

Exposure to machine learning and data science workflows.

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Contributions to open-source projects or technical communities.

Google Cloud Professional Data Engineer certification.

Create a job alert for this search

Cloud Data Engineer • Pune, Maharashtra, India