Data Analyst

Ness Digital Engineering

11d

About The Position

Why Ness We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world. You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.

Requirements

Expert in SQL, Hadoop, BigData, Hive, Nifi
Ability to analyze 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
Bachelor’s degree in Computer Science or equivalent. Candidates without Computer Science or Information Technology degree should have significant work experience.

Nice To Haves

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

Responsibilities

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 applications, all data domains
Advocate best practices for development across our teams