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GCP Data Engineer
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- Posted a month ago
- Over 100 applicants have applied
Job Description
Roles and Responsibilities:
- Design, develop, test, deploy, and maintain large-scale data pipelines using GCP services like BigQuery, Dataflow, PubSub, Dataproc, and Cloud Storage.
- Collaborate with cross-functional teams to gather business requirements and design appropriate data solutions.
- Develop complex SQL queries to extract insights from large datasets in Google Cloud SQL databases.
- Troubleshoot and resolve issues in data processing workflows.
Desired Candidate Profile:
- 5–9 years of experience in Data Engineering with expertise in GCP and BigQuery.
- Strong understanding of GCP platform administration including Compute Engine (Dataproc), Kubernetes Engine (K8s), Cloud Storage, and Cloud SQL.
- Experience with big data analytics projects involving ETL processes using tools like Airflow or similar.
More Info
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Key Skills
About Company
Skills:
thoughtspot , snowflake , Tableau, Sql, ELT, Gcp, Azure, Python, Etl, AWS, Google Data Studio, Google BigQuery
Skills:
bigtable , Github, BigQuery, DataFlow, Python, Pub Sub, Cloud Composer, GitHub Actions
Skills:
BigQuery, Hadoop, Pyspark, Data Warehousing, Bash, Sparksql, Dataproc, Sql, Cloud Storage, Hive, Gcp, Iam, DataFlow, Python, Airflow, DataFrame, Pub Sub
Skills:
data engineering , Gcp, BigQuery, DataFlow, Dataproc, Pyspark, Python, Sql, Pub/Sub, dbt
Skills:
BigQuery, Pandas, Gcp, Power Bi, Pyspark, Tableau, Sql, Python, ELT, Etl