Data Engineer

Job Description

How You Will Make an Impact:

• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the Data pipeline/Business solution required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer’s key business performance metrics (Build algorithms and prototypes)
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their Data pipeline/Business solution needs
• Create data solutions for analytics and data scientist team members
• Drive reusability, standardization, and continuous improvement of data systems by identifying opportunities to enhance data quality, reliability, and data acquisition
  
  

What Makes You a Great Fit:

• 2+ years of hands-on experience as data professional in a data analyst or data engineer role
• Strong knowledge of SQL for data extraction and transformation
• Solid knowledge of data automation and/or ELT/ETL tools or languages, such as KNIME, Alteryx, Pentaho, etc.
• Good scripting or programming skills using any of programming languages, with Python as preference
• Solid understanding of data warehousing concepts and data modelling
• Devops experience with using GIT for developing and deploying code to production

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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