Google Big Query Data Engineer

Dear Vendors,

I hope this email finds you well.

Position: Google Big Query Data Engineer

Location: Remote, US

Client: HCL

Duration: Long Term

Job description:

Professional experience in Data Engineering using Google Big Query (GBQ) and Google Cloud Platform (GCP) data sets and building data pipelines.

Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, Dataprep, Cloud Composer, Airflow, DAG etc.).
Python Programming Expert PySpark, Pandas
Experience in Airflow (Create DAG, Configure the variables in Airflow, Scheduling)
Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python). • Experience in DBT to create the lineage in GCP. – Optional
Worked in Dev-Sec-Ops (CICD) environment.
Design and develop the ETL ELT framework using BigQuery, Expertise in Big Query concepts like Nested Queries, Clustering, Partitioning, etc.
Experience in Data Integration, Data Transformation, Data Quality and Data Lineage tools.
Should be able to automate the data load from Big Query using APIs or scripting language.
E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
E2E Solution Design skills – Prototyping, Usability testing and data visualization literacy.
Experience with SQL and NoSQL modern data stores.

—

Thanks & Regards

Mohd Irfan

Technical Recruiter

—
You received this message because you are subscribed to the Google Groups “c2c urgent mail” group.
To unsubscribe from this group and stop receiving emails from it, send an email to c2curgentmail+unsubscribe@googlegroups.com.
To view this discussion visit

Daily Updated top 2000k+ VENDOR LISTS

Top 500+ USA JOBS HOTLIST

top staffing companies in usa

Updated bench sales hotlist

More Corp to corp hotlist

Join linkedin 58000+ US Active recruiters Network

Join No.1 Telegram channel for daily US JOBS and Hotlist Updated