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Sr. Google Cloud Data Engineer

Sr. Google Cloud Data Engineer

EvonencePune, Maharashtra, India
12 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.
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    Cloud Data Engineer • Pune, Maharashtra, India

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