GCP Big Query Engineer
ConfidentialBengaluru / Bangalore30+ days ago
Job description6-8 years experience in IT or professional services experience in IT delivery or large-scale IT analytics projects Candidates must have expertise and knowledge of the Google Cloud Platform; the other cloud platforms are nice to have. Expert knowledge in SQL development. Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc). Experience with Apache Beam / Google Dataflow / Apache Spark in creating end-to-end data pipelines. Experience in some of the following : Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning. Experience programming in Java, Python, etc. Identify downstream implications of data loads / migration (e.g., data quality, regulatory, etc.) Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.
Technical Requirements
- Have Implemented and Architected solutions on the Google Cloud Platform using the components of GCP
- Experience with Apache Beam / Google Dataflow / Apache Spark in creating end-to-end data pipelines.
- Experience in some of the following : Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning.
- Experience programming in Java, Python, etc.
- Expertise in at least two of these technologies : Relational Databases, Analytical Databases, and NoSQL databases.
- Certified in Google Professional Data Engineer / Solution Architect is a major Advantage
Roles Responsibilities
Experience
Skills Required
Python, Hadoop, Spark, Sql
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Engineer • Bengaluru / Bangalore
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