Job Description
Responsibilities :
– 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.
Requirements :
– Must Have: GCP + Scala + Kafka or Pub/Sub.
– 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, BigQuery, Bigtable, 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.
– Certification as a Google Professional Data Engineer/Solution Architect is a major Advantage.
– 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 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, BigQuery, Bigtable, Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning.
– Experience programming in Java, Python, etc.
– Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc. ) and using databases in a business environment with complex datasets.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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