Data Analytics Engineer

Overview

On Site
Full Time

Skills

Business-to-business
Retail
Extract
transform
load
Data Analysis
Machine Learning (ML)
Decision-making
Financial services
Private equity
SQL
Data warehouse
Data integrity
Computer science
Information systems
Data mining
Data Visualization
Automation
Artificial intelligence
Data
Operations
Health care
Dashboard
Tableau
Microsoft Excel
Metrics
Statistics
Mathematics
Snow flake schema
Databricks
Finance

Job Details

Soni Resources is seeking a Data Analytics Engineer!

Our client integrates cutting-edge machine learning, automation, and extensive industry expertise to develop and implement practical AI solutions for Fortune 500 companies. Their team comprises highly skilled data scientists, solutions architects, industry specialists, and execution teams adept at integrating AI and machine learning into frontline decision-making and ongoing operations. As a global boutique firm, they are the foremost AI partner for major players in financial services, healthcare, private equity, and tech-forward B2B/B2C sectors. Per the client, there will be no sponsorships. On-site candidates only.

Responsibilities:
  • Create and maintain efficient Extract, Transform, Load (ETL) processes to ensure timely and accurate data delivery
  • Write and optimize SQL queries to extract, transform, and load data from various sources into the data warehouse
  • Ensure data integrity and consistency across different data sources and data models
  • Act as a liaison between the technical team and the business stakeholders to gather requirements and understand business needs
  • Communicate technical concepts and findings to non-technical stakeholders in a clear and understandable manner
  • Develop interactive and visually appealing dashboards and reports in Tableau and Excel to present key insights and metrics
  • Customize dashboards based on client requirements and feedback to provide actionable insights
Requirements:
  • Degree in a field such as Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, or a related discipline
  • MS Degree and (1) year OR BS Degree and (3) years of relevant experience ETL pipelining, data analysis, data mining, and data visualization
  • Strong experience in Snowflake, Databricks, and SQL
  • Experience in Data Visualization software like Tableau
  • Experience working in Financial Service industry (a plus)


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