Data Engineer
Apply NowCompany: Sarian, Inc.
Location: Phoenix, AZ 85032
Description:
JD:
Technical/Functional Skills
1) Strong proficiency in SQL and database technologies
2) Familiarity with data warehousing and data modelling concepts
3) Hands-on experience with Google Cloud Platform (GCP) tools such as Big Query, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Bigtable
4) Experience with big data technologies such as Hadoop, Spark, Hive, Kafka etc
5) Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
6) Knowledge of Airflow and CI/CD pipelines
7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc
Roles & Responsibilities
Design, develop, and maintain data architectures and infrastructure
Collaborating with cross-functional teams to understand complex data requirements and deliver efficient solutions
Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
Monitor, troubleshoot, and improve the performance and reliability of data systems.
Monitor BigQuery usage and manage cost-effective scaling of resources.
Develop and maintain data models to support analytics and reporting
Technical/Functional Skills
1) Strong proficiency in SQL and database technologies
2) Familiarity with data warehousing and data modelling concepts
3) Hands-on experience with Google Cloud Platform (GCP) tools such as Big Query, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Bigtable
4) Experience with big data technologies such as Hadoop, Spark, Hive, Kafka etc
5) Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
6) Knowledge of Airflow and CI/CD pipelines
7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc
Roles & Responsibilities
Design, develop, and maintain data architectures and infrastructure
Collaborating with cross-functional teams to understand complex data requirements and deliver efficient solutions
Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
Monitor, troubleshoot, and improve the performance and reliability of data systems.
Monitor BigQuery usage and manage cost-effective scaling of resources.
Develop and maintain data models to support analytics and reporting