
GCP Staff Data Engineer
1 day ago
Experience: 8 - 13 years
Notice Period: Immediate to max 45 days
Preferred - Data Engineering Background
Location –Bangalore, Chennai, Hyderabad, Kolkata, Pune, Gurgaon
Required Skills - GCP DE Experience, Big query, SQL, Cloud compressor/Python, Cloud functions, Dataproc+pyspark, Python injection, Dataflow+PUB/SUB
Job Requirement:
· Have Implemented and Architected solutions on 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, Machine Learning.
· Experience programming in Java, Python, etc.
· Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.
· Certified in Google Professional Data Engineer/ Solution Architect is a major Advantage
Skills Required:
· 8+ years' experience in IT or professional services experience in IT delivery or large-scale IT analytics projects
· Candidates must have expertise knowledge of 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, 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.
· Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutions
· Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets.
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