Position: GCP Data Engineer

Location: TEXAS CITY, Texas (100% Remote)

Type: Contract

 

Job Description:

 

·       GCP Data Engineer with 6 to 8+ years of experience in Data Analytics
and Big Data.

·       Responsible for extract, transform and load (ETL) processes and the
creation of applications that can connect to remote APIs. Preferably including
streaming data into environments such as BigQuery on Google Cloud Management
Platform.

·       Preferred Experience in implementing Data Pipelines leveraging Google
Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub,
Cloud BigTable.

·       Strong background in Python programming skills

·       Good experience in implementing data pipelines

·       Have a good understanding of Google best practice/recommendation and
should be able to align the same with the customer requirements to deliver best
in class solution for the customer?s Analytics requirements.

·       A strong background and exposure to databases, including both
relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. Redis, Cassandra, MongoDB)
database systems

·       Familiarity with real time streaming and processing of various data
sources, including logs, time series telemetry data, unstructured social data
and relational data

·       Would be preferred to have been a part of implementation/migration of
a Data Warehouse and Big Data (Hadoop) project from on-prem to GCP (using
Google BigQuery, DataFlow, DataProc etc.)

·       Work closely with Operations team to tune existing and new
architecture.