Senior Executive, Data Management (ETL Developer)

Role Purpose

We are building a technical team that can provide data‑insights and support for all data related issues. Data analysts, architects, scientists, statisticians are expected to know R, Python, HTML, SQL, C++, and JavaScript. They must be familiar with data retrieval and storage systems, data visualization, data warehousing using ETL tools, Hadoop analytics, and business intelligence concepts. These persistent and passionate data miners usually have a strong background in math, statistics, machine learning, and programming. Candidates should be technically qualified and willing to work in KL.

Job Description

1. Data analysts/architects/scientists/statisticians are involved in data munging and data visualization. They handle stakeholder requests, query databases, scrape data, ensure quality, and manage it. They interpret and communicate findings, perform data wrangling, profiling, mapping, and quality checks from source to target. They acqui...