Job Description:
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: GCP Looker ( Google Reporting tool)
Secondary: BigQuery
Experience working in GCP 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.