Posted:21 hours ago|
Platform:
On-site
Full Time
Design and develop data pipelines using GCP services like BigQuery, Cloud Dataflow, Cloud Function, Composer, Cloud Pub/Sub, and Cloud Storage
2) Write efficient, scalable, and maintainable Python code for data processing, automation, and integration tasks
3) Implement ETL/ELT processes to ingest, transform, and store structured and unstructured data
4) Manage and optimize data storage solutions for performance, cost, and reliability
5) Ensure data quality, integrity, and security across the data lifecycle
6) Collaborate with cross-functional teams to understand data requirements and deliver solutions
7) Monitor and troubleshoot data infrastructure and pipeline performance
8) Stay current with GCP updates and best practices to continuously improve data architecture
9) Proven experience in data engineering with GCP
10) Strong understanding of data modeling, warehousing, and pipeline architecture
11) Excellent problem-solving and communication skills
12) Should have Google Professional Data Engineer certification
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