6 Cloud Dataprep Jobs

You will be responsible for the following tasks: - Experience in GCP. - Data migration experience from legacy systems including SQL, Oracle. - Experience with Data lake, data warehouse ETL pipelines build and design on GCP. - GCP data and analytics services like Cloud Dataflow, Cloud Dataprep, Apache Beam/Cloud composer, Cloud BigQuery, Cloud Fusion, Cloud PubSub, Cloud storage & Cloud Functions. - Using Cloud Native GCP CLI/gsutil along with scripting using Python & SQL. - Experience with Data Governance, Metadata Management, Data Masking & Encryption using GCP tools like Cloud Data Catalog, GCP KMS tools. Qualifications required for this role: - Experience in GCP. - Proficiency in data mig...

As a GCP Data Engineer, you will be responsible for designing and implementing solutions on Google Cloud Platform (GCP) utilizing various GCP components. Key Responsibilities: - Implementing and architecting solutions on GCP using components such as BigQuery, SQL, Cloud Composer/Python, Cloud Functions, Dataproc with PySpark, Python Injection, Dataflow with PUB/SUB. - Experience with Apache Beam, Google Dataflow, and Apache Spark in creating end-to-end data pipelines. - Proficiency in Python, Hadoop, Spark, SQL, BigQuery, BigTable, Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning. - Programming expertise in Java, Python, and other relevant technologies. - Certified in Googl...

You will be responsible for the following tasks: - Experience in GCP. - Data migration experience from legacy systems including SQL, Oracle. - Experience with Data lake, data warehouse ETL pipelines build and design on GCP. - GCP data and analytics services like Cloud Dataflow, Cloud Dataprep, Apache Beam/Cloud composer, Cloud BigQuery, Cloud Fusion, Cloud PubSub, Cloud storage & Cloud Functions. - Using Cloud Native GCP CLI/gsutil along with scripting using Python & SQL. - Experience with Data Governance, Metadata Management, Data Masking & Encryption using GCP tools like Cloud Data Catalog, GCP KMS tools. No additional details about the company are mentioned in the job description.,

As a Data Engineer at our company, you will be responsible for designing scalable and robust AI/ML systems in production, focusing on high-performance and cost-effective solutions. Your expertise in various technologies, including GCP services like BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage, along with programming languages such as Python, Java/Scala, and SQL, will be crucial for the success of our projects. Additionally, your experience with data processing tools like Apache Beam, Apache Kafka, and Cloud Dataprep, as well as orchestration tools like Apache Airflow and Terraform, will play a significant role in implementing efficient data pipelines. Knowledge of security ...

As a GCP Data Engineer in Australia, you will be responsible for leveraging your experience in Google Cloud Platform (GCP) to handle various aspects of data engineering. Your role will involve working on data migration projects from legacy systems such as SQL and Oracle. You will also be designing and building ETL pipelines for data lake and data warehouse solutions on GCP. In this position, your expertise in GCP data and analytics services will be crucial. You will work with tools like Cloud Dataflow, Cloud Dataprep, Apache Beam/Cloud composer, Cloud BigQuery, Cloud Fusion, Cloud PubSub, Cloud storage, and Cloud Functions. Additionally, you will utilize Cloud Native GCP CLI/gsutil for opera...

You should have a strong understanding of the tech stack including GCP Services such as BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage. Experience with Data Processing tools like Apache Beam (batch/stream), Apache Kafka, and Cloud Dataprep is crucial. Proficiency in programming languages like Python, Java/Scala, and SQL is required. Your expertise should extend to Orchestration tools like Apache Airflow (Cloud Composer) and Terraform, and Security aspects including IAM, Cloud Identity, and Cloud Security Command Center. Knowledge of Containerization using Docker and Kubernetes (GKE) is essential. Familiarity with Machine Learning platforms such as Google AI Platform, TensorFl...