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Data Engineer GCP

In United States

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Data Engineer GCP   

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JOB TITLE:

Data Engineer GCP

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Texas City, TX United States

JOB DESCRIPTION:

Role: Data Engineer GCP

Location remote for now in US (Texas City, TX)

Duration: Contract//Full Time

Client: TechM//Connect Holdings

Rate: $65/hr

Salary: $130K/annum

 

* GCP Data Engineer with 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 on Big Data platform using Spark.

* 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.

* Working knowledge of microservices using Docker and Kubernetes

* 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.

 

Position Details

POSTED:

Sep 15, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16572528371281023

LOCATION:

United States

CITY:

Texas City, TX

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

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<p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><b>Role: Data Engineer GCP</b></span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><b>Location remote for now in US (Texas City, TX)</b></span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><b>Duration: Contract//Full Time</b></span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><b>Client: TechM//Connect Holdings</b></span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><b>Rate: $65/hr</b></span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><b>Salary: $130K/annum</b></span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"> </span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* GCP Data Engineer with 8+ years of experience in Data Analytics and Big Data.</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* Responsible for extract, transform and load (ETL) processes and the creation of applications that can connect to remote APIs.</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">Preferably including streaming data into environments such as BigQuery on Google Cloud Management Platform.</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* Preferred Experience in implementing Data Pipelines leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable.</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* Strong background in Python programming skills</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* Good experience in implementing data pipelines on Big Data platform using Spark.</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* 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.</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* Working knowledge of microservices using Docker and Kubernetes</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* A strong background and exposure to databases, including both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. Redis, Cassandra, MongoDB) database systems</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* Familiarity with real time streaming and processing of various data sources, including logs, time series telemetry data, unstructured social data and relational data</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* 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.)</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial">* Work closely with Operations team to tune existing and new architecture.</span></span></span></span></span></span></span></span></span></span></span></p> <p style="text-align:start"><span style="font-size:small"><span style="color:#222222"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-weight:400"><span style="white-space:normal"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"> </span></span></span></span></span></span></span></span></span></span></span></p>


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