Principal Data Engineer

Amazon EMR, Amazon Kinesis, Apache Hadoop, Apache Hive, Apache Pig, Apache Spark, Artificial intelligence, Business management, Cloud, Data engineering, Data analysis, Data integration, Data modeling, Data warehouse, ETL, Engineering, OLAP, SQL, Python, Data science, Database, Machine learning, Meta-data management, Data QA, Scala, Software, Continuous improvement, OLTP
Full Time
$160,000 - $200,000
Work from home available Travel not required

Job Description

Principal Data Engineer

Who we are:

Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights.

We are currently hiring a Principal Data Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company’s Data Science and Machine Learning effort.

If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!

You will:

  • Work closely with our Data Scientists and ML engineers to build data warehouses and pipelines
  • Collaborate with our AI Infrastructure team to extend the capabilities of our machine learning platform
  • Monitor and optimize the quality and performance of our data pipelines and tools
  • Collaborate with other teams to integrate new data sources, ensuring privacy and security protocols are followed
  • Collaborate with data scientists and ML engineers to design and build data analytics tools for detecting data anomalies and ensuring data quality

You have:

  • 5+ years of relevant practical experience working on data integration, data modelling and metadata management
  • Expert knowledge and experience with several relevant languages, tools and frameworks: e.g. Python, SQL, Scala, Spark, Beam, Hadoop, Pig, Hive, Amazon Kinesis, Amazon EMR etc
  • Database experience: e.g. you know how to write and optimize SQL queries, design efficient schemas for OLAP and OLTP and understand differences and tradeoffs between them
  • Excellent written and verbal communication skills, and ability to evaluate and explain technical details clearly
  • Willingness to adapt to significant changes in either technology or environment
  • Previous experience working with financial data is a plus

What's it like to work here

You will have an opportunity to work in an environment where Data Science is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software. Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff. Our team is talented, capable and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction.

 

Do you love where you work? WE do!

Who is Sage? https://www.sage.com/en-us/company/careers/who-we-are/
How we make a difference: https://www.sage.com/en-us/company/sage-foundation/
Champion of Business Builders: https://www.sage.com/en-us/products/
Life at Sage: https://www.sage.com/en-us/company/careers/life-at-sage/

Our comprehensive total rewards program includes:
• Extended health, dental and vision coverage
• On-going training and professional development
• 21 days paid time off from the start
• Paid 5 days to volunteer through our Sage Foundation
• Matching Retirement contributions
• And, so much more…

Dice Id : RTL404029
Position Id : VN12555
Originally Posted : 1 month ago
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