Data Analytics Engineer

What you will be doing:

• Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support key business decisions.
• Develop and maintain big data pipelines and ETL along with different algorithms using Python and Unix Shell scripting to support business data needs.
• Web scraping to extract data from Webpage using Parsers (HTML Parser, JSON Parser, XML Parser, etc.) into structured data formats.
• Work with various teams to support ad hoc data usage, improve high-volume data infrastructure by automating data processing rules, and troubleshoot data issues.
• Communicate results and business impacts of insight initiatives to key stakeholders to collaboratively solve business problems.
• Identification & Implementation of cutting-edge analytical tools, models, and methods for making key business decisions.

What we need to see: 

• Bachelors or Masters degree in Computer Science, IT, or a similar field.
• 3+ years of experience in a Data Engineer role. Experience in data analytics in a fast-paced business analytics environment is preferred.
• Expert level proficiency and knowledge of programming in Python.
• Hands-on experience in scraping from multiple web data sources.
• Strong demonstrated experience in SQL and Unix shell commands.
• Demonstrated expertise in analysis using Tableau or Excel. 
• Ability to perform complex data analysis with large volumes of data. Experience with Clickhouse or PostgreSQL is a plus.
• Strong ability to plan and manage processes, people, and projects simultaneously with global teams across time zones.
• Passion for data and continuous learning.
• Strong written and spoken communication skills.