Data Engineer
3 weeks ago
Technical Skills :
1. Google Cloud Platform (GCP) : In-depth knowledge and hands-on experience with GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Data Studio, and Cloud Storage.
2. Data Engineering : Strong understanding of data engineering principles, including data ingestion, transformation, processing, and storage.
3. Big Data Technologies : Proficiency in big data technologies such as Apache Hadoop, Apache Spark, Apache Beam, and Apache Kafka.
4. Data Modeling and Warehousing : Experience in designing and implementing data models for data warehousing solutions using tools like Google BigQuery.
5. ETL (Extract, Transform, Load) : Expertise in building ETL pipelines to extract data from various sources, transform it, and load it into data warehouses or data lakes.
6. Data Architecture : Ability to design and implement scalable, reliable, and cost-effective data architectures on GCP.
7. SQL and NoSQL Databases : Proficient in working with both SQL and NoSQL databases, such as Google Cloud SQL, Firestore, and Bigtable.
8. Programming Languages: Strong programming skills in languages commonly used in data engineering, such as Python, Java, or Scala.
9. Version Control : Familiarity with version control systems like Git for managing codebase and collaboration.
10. DevOps and Automation : Experience in CI/CD pipelines, infrastructure as code (IaC) using tools like Terraform or Deployment Manager, and automating data engineering workflows.
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