GCP Data Engineer
Job Description
Unnesting of JSON files in Google BigQuery
Google Cloud Run (using container services, python)
Hands on experience in GCP services like composer, cloud function, cloud run
Experience in developing CI/CD pipelines.
Experience in DBT scripts, docker files and knowledge on datavault is a plus.
Strong technical knowledge and hands on experience of python or java
Role: Data Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate
More Info
Job Type:
Industry:
Function:
Employment Type:
About Company
Skills:
BigQuery, Gcp, Spark, Apache Beam, Dataproc, DataFlow, Python, Sql, ELT, Etl, Cloud Data Engineering
Skills:
GCP - DataFlow, Python Development, Postgre, Sql, Cloud Functions, CloudSQL, GCS, GCP Bigquery
Skills:
data engineering , Data Modeling, Tensorflow, Cloud Storage, Python, AWS, Java, BigQuery, Google Cloud Platform, Hadoop, Data Security, Data Quality, Dataproc, Data Warehousing, Sql, Spark, Azure, Etl, Streaming, Machine Learning, Cloud Storage, Big Data, Data Governance, Cloud Dataflow, Cloud Composer, Cloud Functions, NoSQL databases, Scikit-learn, Data compliance, Google Cloud Certifications, Messaging, Cloud Experience, pub-sub
Skills:
Gcp, Pyspark, Kafka, Dataproc, Sql, Python, Airflow, Big Query, Cloud Function, Cloud Run, Pubsub, Data Flow
Skills:
Elasticsearch, BigQuery, Sql, Python, Pyspark, MongoDB, Airflow Composer, GCP Data Analytics