Data Engineer

Job Overview

2.5-5
INDIA - Chennai
UG
About LatentView:

  • LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions and turn unstructured data into a valuable business asset.
  • We specialize in Predictive Modelling, Marketing Analytics, Big Data Analytics, Advanced Analytics, Web Analytics, Data Science, Data Engineering, Artificial Intelligence and Machine Learning Applications. 
  • LatentView Analytics is a trusted partner to enterprises worldwide, including more than two dozen Fortune 500 companies in the retail, CPG, financial, technology and healthcare sectors.

Job Description:

  • Data Analyst who can own the entire end-to-end Data Modelling and Data migration. Analyzing and translating business needs into long-term solution data models. 
  • Working with the development team to create conceptual data models and data flows.
    Evaluating implemented data systems for variances, discrepancies, and efficiency.
    Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
Requirement:
  • 3+ years of relevant experience in Data modelling and ETL development.
  • Must have basic knowledge on Azure Architecture and ETL pipelines on Azure Excellent logical thinking and optimization of SQL queries. 
  • Strong proficiency in Microsoft SQL Server development, including i)ability to query and investigate data and to write views, stored procedures and other objects using T- SQL. ii)understanding and creating entity relationship models. 
  • Good understanding of data warehouse designing and different data modelling techniques. 
  • Basic understanding of Informatica – Converting an ETL Workflow into a Cloud mapping.
  • Good experience in designing and delivering functional solutions to Business, analysing their data, and constantly thriving to improve the Data consistency. 
  • Good experience in handling Clients, understanding the requirements and converting them into User acceptable Output formats. 
  • Proven experience in Analyzing the Data and find out more comprehensive Insights for a more convenient Business Output.
  • Must be flexible to develop ETL pipelines whenever needed.