Interesting Job Opportunity: GCP Data Engineer - Spark/Hive
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Job Description
- 5+ Years of Experience in Data Engineering and building and maintaining large-scale data pipelines.
- Experience with designing and implementing a large-scale Data-Lake on Cloud Infrastructure
- Strong technical expertise in Python and SQL
- Extremely well-versed in Google Compute Platform including BigQuery, Cloud Storage, Cloud Composer, DataProc, Dataflow, Pub/Sub.
- Experience with Big Data Tools such as Hadoop and Apache Spark (Pyspark)
- Experience Developing DAGs in Apache Airflow 1.10.x or 2. x
- Good Problem-Solving Skills
- Detail Oriented
- Strong Analytical skills working with a large store of Databases and Tables
- Ability to work with geographically diverse teams.
- Certification in GCP service.
- Experience with Kubernetes.
- Experience with Docker
- Experience with CircleCI for Deployment
- Experience with Great Expectations.
- Build Data and ETL pipelines in GCP.
- Support migration of data to the cloud using Big Data Technologies like Spark, Hive, Talend, Java
- Interact with customers on daily basis to ensure smooth engagement.
- Responsible for timely and quality deliveries.
- Fulfill organization responsibilities : Sharing knowledge and experience with the other groups in the organization, and conducting various technical training sessions.
Skills
Cloud InfrastructureDesigningEtlPythonQualitySqlTrainingIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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