GCP Data Engineer
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
1 hour ago
Vacancies:
1 Vacancy
Job Summary
Job Title: GCP Data Engineer
Location: Boston MA
Experience: 9 Years
Looking for W2 Candidates. No C2C
Location: Boston MA
Experience: 9 Years
Looking for W2 Candidates. No C2C
Job Description:
We are seeking an experienced GCP Data Engineer with 9 years of experience in designing developing and maintaining scalable data pipelines and data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in cloud data engineering big data technologies and modern data architectures.
We are seeking an experienced GCP Data Engineer with 9 years of experience in designing developing and maintaining scalable data pipelines and data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in cloud data engineering big data technologies and modern data architectures.
Key Responsibilities:
Design build and maintain scalable data pipelines on GCP.
Develop and optimize ETL/ELT processes for large-scale data processing.
Work with BigQuery Cloud Dataflow Cloud Composer and Cloud Storage for data processing and orchestration.
Implement data integration solutions from multiple data sources.
Ensure data quality data governance and security best practices.
Collaborate with data scientists analysts and business teams to support analytics and reporting needs.
Monitor troubleshoot and optimize data workflows and pipelines.
Design build and maintain scalable data pipelines on GCP.
Develop and optimize ETL/ELT processes for large-scale data processing.
Work with BigQuery Cloud Dataflow Cloud Composer and Cloud Storage for data processing and orchestration.
Implement data integration solutions from multiple data sources.
Ensure data quality data governance and security best practices.
Collaborate with data scientists analysts and business teams to support analytics and reporting needs.
Monitor troubleshoot and optimize data workflows and pipelines.
Required Skills:
9 years of experience in Data Engineering / Big Data.
Strong experience with Google Cloud Platform (GCP) services such as BigQuery Dataflow Pub/Sub Cloud Composer and Cloud Storage.
Proficiency in Python SQL and Spark.
Experience with ETL tools and data pipeline development.
Knowledge of data warehousing concepts and dimensional modeling.
Experience with CI/CD Git and DevOps practices.
Strong problem-solving and communication skills.
9 years of experience in Data Engineering / Big Data.
Strong experience with Google Cloud Platform (GCP) services such as BigQuery Dataflow Pub/Sub Cloud Composer and Cloud Storage.
Proficiency in Python SQL and Spark.
Experience with ETL tools and data pipeline development.
Knowledge of data warehousing concepts and dimensional modeling.
Experience with CI/CD Git and DevOps practices.
Strong problem-solving and communication skills.
Preferred Skills:
Experience with Apache Airflow Kafka or Hadoop ecosystem.
Familiarity with data visualization tools such as Tableau or Power BI.
Experience working in Agile/Scrum environments.
Experience with Apache Airflow Kafka or Hadoop ecosystem.
Familiarity with data visualization tools such as Tableau or Power BI.
Experience working in Agile/Scrum environments.
Best Regards:
Ashley Quinn
Phone: 1-
Email:
Ashley Quinn
Phone: 1-
Email:
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
