Google Cloud Platform cloud Architect

Overview

On Site
Depends on Experience
Full Time

Skills

Google Cloud Platform
ETL
Cloud

Job Details

Senior application developer with 7+ years of experience to support application development of Time & Pay Data Analytics in Google Cloud Platform. Expect to perform the following:-

Conducts systems and requirements analyses to identify project action items.

Creates task lists and time estimates to support project plan development.

Performs assigned functions and tasks to meet project plan and quality review requirements

System analysis, design, code, test, correct & document moderate to highly complex program.

Support data analysis, data migration

Write scripts required for data cleansing, format & transformation

Skill/Experience/Education

Primary: Google Cloud Platform Looker ( Google Reporting tool)

Secondary: BigQuery

Experience working in Google Cloud Platform environment.

Experience in data modelling

Ability to write complex BQ queries.

Ability to create Dashboards and reports

Development Experience in Google Cloud platform/development tools.

Experience with Agile Development, data analytics, SQL programming

Reporting and Dashboarding experience such as Google Looker or Google Data Studio

Strong Python Development Experience is mandatory

6-8 years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies

Demonstrable knowledge & Experience using Google Cloud Big Query is mandatory

Experience with DataProc & DataFlows with Java on Google Cloud Platform is highly desired

Experience with serverless data warehousing concepts on Google Cloud is highly desired

Experience with DWBI modelling framework is highly regarded

Extensive experience working with SQL across a variety of databases

Experience working with both structured and unstructured data sources using cloud analytics (Cloudera , Hadoopo etc.)

Experience with Data Mapping and Modelling

Experience with Data Analytics tools

Proven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, R, UNIX Shell, php, ruby.

Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table

knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.

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