Role: Data Analyst
Location: Ontario (Hybrid)
Duration: 12+ Months

Requirements and responsibilities
What you’ll do  
Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams  
Create new datasets and sophisticated dashboards  
Understand the data and business processes across all applicaitons, all data domains 
Advocate best practises for development across our teams  
  
What you’ll bring
Must Have 
Expert in SQL, Hadoop, BigData, Hive, Nifi
Ability to analyse the construction of existing reports and reverse engineer table relationships etc 
Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
Exp in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
Strong at database commands (DDL and DML) and data warehousing implementations models.
Hands on exp with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
Familiar with Mainframe ESP for job scheduling.
Understanding of branched development – dev, qa, prod etc  
Passionate about data and it’s potential  

Desired:  
Experience of analyzing Lobs, data bases, writing scripts.  
Experience of connecting to additional sources such as Azure, MySql  
CI/CD experience  

Education: 
Bachelor’s degree in Computer Science or equivalent. 
Candidates without Computer Science or Information Technology degree should have significant work experience.