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2 weeks ago
As a seasoned data engineer, you will be responsible for architecting and implementing data solutions on Google Cloud Platform (GCP) leveraging its various components. This includes designing and creating end-to-end data pipelines using technologies like Apache Beam, Google Dataflow, or Apache Spark.
Key responsibilities include implementing data pipelines to automate the ingestion, transformation, and augmentation of data sources, providing best practices for pipeline operations. You will also work with Python, Hadoop, Spark, SQL, BigQuery, BigTable, Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning services.
Required Skills:- Expert knowledge of GCP Data Engineering, including BigQuery, SQL, Cloud Composer/Python, Cloud Functions, Dataproc + PySpark, Python injection, Dataflow + Pub/Sub.
- Proficiency in programming languages such as Java and Python.
- Experience in some of the following: Apache Beam/Google Dataflow/Apache Spark, Hadoop, Spark, SQL, BigQuery, BigTable, Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.
- Strong analytical and problem-solving skills.
Candidates should possess strong expertise in at least two of the following technologies: Relational Databases, Analytical Databases, or NoSQL databases.
Benefits:- Opportunity to work with cutting-edge technology and contribute to innovative projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Candidates must have a Bachelor's degree in Computer Science or related field and a minimum of 3 years of experience in data engineering.
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