Senior Data Architect

3 days ago

Hyderabad, Telangana, India beBeeData Full time ₹ 30,00,000 - ₹ 40,00,000

Job Summary:

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We seek a highly skilled Senior Data Architect with strong expertise in designing and implementing scalable data pipelines on the Google Cloud Platform (GCP). The ideal candidate will be responsible for leading the development, maintenance, and enhancement of complex ETL & ELT data workflows using Python.

Key Responsibilities:

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  • Design, develop, test, and maintain scalable ETL data pipelines using Python, leveraging GCP services such as Dataflow, BigQuery, and Cloud Functions.
  • Architect and implement enterprise solutions using various technologies like Kafka, multi-cloud services, auto-scaling using GKE, Load balancers, APIGEE proxy API management, DBT, LLMs, and redaction of sensitive information, DLP etc.
  • Work extensively on GCP services such as: Dataflow for real-time and batch data processing, Cloud Functions for lightweight serverless compute, BigQuery for data warehousing and analytics, Cloud Composer for orchestration of data workflows on Apache Airflow, Google Cloud Storage for managing data at scale, IAM for access control and security, Cloud Run for containerized applications.
  • Perform data ingestion from various sources, apply transformation and cleansing logic to ensure high-quality data delivery, implement and enforce data quality checks, validation rules, and monitoring.
  • Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
  • Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
  • Stay up-to-date with industry trends and emerging technologies, and continuously improve processes and tools to meet evolving business requirements.
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