Google Cloud Platform Data Engineer / Data Analyst / Data Engineer

Google Cloud Platform Data Engineer / Data Analyst / Data Engineer

02 Sep 2022
Texas, Dallas / fort worth, 75342 Dallas / fort worth USA

Google Cloud Platform Data Engineer / Data Analyst / Data Engineer

VDart Inc is the leading global provider of digital solutions, products and talent management company providing digital technology solutions in Automotive, Manufacturing, Energy & Utilities and Healthcare Industries. Led by a strong global team located across 10 countries including USA, Canada, Mexico, Brazil, UK, Japan, Australia & India. We are currently accepting applications from staffing firms for our Preferred Partner Program, where we align niche staffing firms with specific verticals based on their strengths. To apply, please visit: https://www.vdart.com/suppliers/

Role: Google Cloud Platform Tech Lead

  • 8 to 10 years of experience in Designing ,develop, deploy high performing data solutions BIDW (OnPrim & Cloud), with minimum 2 to 3 years' experience in Google Cloud Platform
  • Experience in providing end to end data solution from ingestion through visualization for large and complex programs
  • Experience in model building, turning & implementation of Google BigQuery solution in Google Cloud Platform
  • Design schemas for efficient storage and query execution
  • 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
  • 2+ years of exp in writing complex queries, stored procedure and exposure to SVN or Git code version tool

Role: Google Cloud Platform Data Engineer

  • Google Cloud Platform 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 Google Cloud Platform (using Google BigQuery, DataFlow, DataProc etc.)
  • Work closely with Operations team to tune existing and new architecture.

Role: MSBI (SSIS/SSRS) Data Engineers

  • Must Have 6 to 8 years of experience in database development using SQL Server stack
  • Experience in SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS) and SQL Server Analysis Services (SSAS)
  • Core experience to build complex SQL Queries and implement indexing in MS SQL Database to perform computing on large scale Databases.
  • Creation of complex stored procedures involving explicit transactions and exception handling
  • Strong Datawarehouse and ETL Experience. Experience in cloud based implementation will be an added advantage (Google / AWS).
  • Experience in Database as analysis, developing procedure, trigger and Function for large scale of Business Applications.
  • Good Experience in SQL Query performance tuning for large datasets

Role: Data Analyst

  • Around 3 to 5 years of experience in demonstrating Data Analysis on high volume of data
  • Experience in building Source to target mapping sheets in discussion with source SME's and Business and working with data modelers and Data Engineers to build & validate the E2E data flow
  • Technical proficiency regarding database design development, data models, techniques for data mining, data profiling and segmentation.
  • Proficiency in programming/scripting languages including SQL / No SQL/ Python
  • 2 to 3 years of strong experience in Working with Google Cloud Platform and its native cloud services will be an added advantage
  • Proven analysis and problem-solving skills

Key Skills: Google Cloud Platform data Engineer, Data Engineer, Data analyst, Google cloud Platform, SQL, MSBI, SSIS, SSRS, big Data, data analytics, ETL

Referral Program: Referral Program: Ask our recruiting team about how you can be a part of our referral program. If you refer a candidate with this background and if the candidate accepts the role our team pays a generous referral. We are keen on networking and establishing a long-term, mutually beneficial partnership with you

We are Equal Employment Opportunity Employer.

VDart Inc
Alpharetta, GA
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