SQL/BI Data Developer/Analyst (Need onsite from Day 1)
Location: Austin, TX / Scottsdale, AZ
Client: PayPal
JD:
Must have understanding of data processing and data warehousing concepts. Experience with gathering requirements for BI/Data warehouse project is must
Experience with ETL/BI tools is must
Experience in Data Analysis, Data profiling, Data Validation using complex SQL queries on top of RDBMS/Hadoop- HiveQL, SparkSQL / GCP Big Query etc. for validation of ETL data pipelines
Performing Fit GAP assessments of current/future state data platforms and creating an appropriate transition path/roadmap
Ability to understand code developed using python, pyspark etc
Preferred/Basic understanding of Payments/Finance/Accounting Industry Background
Understanding of Apache Spark/Hadoop ecosystem and the Data Analytics ecosystem
Should be a fast learner and must be able to work with minimal supervision in a fast paced environment
Experience or understanding of designing data pipelines, data models in a cloud environment like GCP BigQuery or any other Cloud is a plus
Creating source to target mapping documents, data flow diagrams, data models to document data pipelines
Experience with databases, systems integration, application development and reporting
Must have demonstrably strong interpersonal and communication skills (both written and verbal), to include speaking clearly and persuasively in positive or negative situations
Works in an Agile environment and continuously reviews the business needs, refines priorities, outlines milestones and deliverables, and identifies opportunities and risks
Maintain, track, and collaborate with dev teams to ensure project estimation for delivery
Highlight the bugs and blockers and coordinate with the development and operations team to come up with the best solutions/fixes and document them
Work across internal team in various geo-locations across the world
Weekly and Monthly status reporting to leadership
Having GCP certification or Cloud experience is a plus
Having scripting & coding experience is a plus
AR# 206661
Role: SQL Data Analyst (Need to be onsite after 2-3 weeks)
Location: Stamford, CT
Client: Franklin Templeton Companies,LLC
10+ years of experience with back-office systems and data
Ability to analyse complex business problems and recommend technical and non-technical solutions
A thorough understanding of back-office and middle office data (trades, corporate actions, holdings, etc.) and the underlying systems and business processes used to create the data. Then how that information is used across a financial organisation in both systems and business processes
Ability to assess new/changed data's impact to downstream users of that data
Financial industry/Capital Market experience is important
Strong SQL development skills
Thorough understanding of conceptual and logical data models for complex data centric projects, applications, and data management platforms
Experience with integration requirements related to company acquisitions and complex product launches
Outstanding analytical, innovation, and problem-solving skills
Numbers & Facts
Location
Skills
Accountingunmatched
Agile Programming Methodologiesunmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Business Analysisunmatched
Business Intelligenceunmatched
Business Intelligence Softwareunmatched
Business Processesunmatched
Capital Marketsunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Profilingunmatched
Data Qualityunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Ecosystemsunmatched
Financeunmatched
GCP (Good Clinical Practices)unmatched
Geolocationunmatched
Interpersonal Skillsunmatched
Leadershipunmatched
Mergers and Acquisitionsunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Product/Service Launchunmatched
Project Estimatesunmatched
Python Programming/Scripting Languageunmatched
Relational Databases (RDBMS)unmatched
Requirements Managementunmatched
Risk Analysisunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Writing Skillsunmatched
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