Data Analyst creating sophisticated datasets and interactive dashboards for Ness Digital Engineering’s technology clients. Applying SQL, Hadoop, DataStage, and data warehousing expertise across product teams.
Responsibilities
Work with project teams, business stakeholders, technical SMEs, and Data Insights on a growing portfolio of interactive dashboards across product teams
Create new datasets and sophisticated dashboards
Understand data and business processes across applications and data domains
Advocate best practices for development across teams
Requirements
Expert in SQL, Hadoop, BigData, Hive, and Nifi
Ability to analyse the construction of existing reports and reverse engineer table relationships
Strong knowledge of the Retail Domain
Experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading
Experience using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator
Strong knowledge of database commands (DDL and DML) and data warehousing implementation models
Hands-on experience with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN
Familiarity with Mainframe ESP for job scheduling
Understanding of branched development (dev, QA, prod, etc.)
Passion for data and its potential
Experience analyzing LOBs and databases and writing scripts
Experience connecting to additional sources such as Azure and MySQL
CI/CD experience
Bachelor’s degree in Computer Science or equivalent
Candidates without a Computer Science or Information Technology degree should have significant work experience
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