Data Analyst

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Ness Digital Engineering

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

Ness Digital Engineering is a full-lifecycle digital engineering firm headquartered in New York. The company offers services that encompass digital advisory and scaled engineering capabilities across various industries, including Financial Services, Manufacturing & Transportation, and Media & Entertainment. With expertise in cloud services, data and analytics, and intelligent engineering, Ness has developed a reputation for helping businesses achieve digital transformation. The company operates globally across 11 innovation hubs, utilizing a globally distributed agile development model called Flexshoring. Ness partners with leading technology platforms like AWS, Microsoft Azure, and Salesforce to provide specialized solutions. In 2022, the global investment firm KKR acquired Ness Digital Engineering.

📋 Description

• 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 practises for development across our teams

🎯 Requirements

• 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 • experience with various stages of data warehouse projects • experience 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 experience 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 its potential • Experience of analyzing Lobs, data bases, writing scripts • Experience of connecting to additional sources such as Azure, MySql • CI/CD experience • Bachelor’s degree in Computer Science or equivalent • Candidates without Computer Science or Information Technology degree should have significant work experience.

🏖️ Benefits

• access to trainings and certifications • bonuses • aids • socializing activities • attractive compensation