Data Engineer for Autonomous Commerce
1 day ago
About JAGGAER
JAGGAER is a leader in the Autonomous Commerce revolution, providing a self-governing B2B commerce experience between buyers, suppliers, and partners. Our intelligent procurement solutions leverage AI and machine learning to facilitate enterprise commerce.
We are over 1,250 employees strong, all focused on customer success. Our team fosters a culture of mutual respect, working effectively and productively with others, and sharing responsibility for team success.
Job Description & Requirements *
Responsibilities
- Contribute to designing, testing, and implementing data pipeline technologies to extract and transform data from source systems.
- Perform data modeling on target systems to store data and support analytic querying.
- Communicate with other development teams to gather and document requirements.
- Work in Agile methodology and participate in design and review meetings.
- FOLLOW BEST PRACTICES FOR SOFTWARE DEVELOPMENT LIFECYCLE INCLUDING CODING STANDARDS, REVIEWS, SOURCE MANAGEMENT, BUILD, AND TESTING.
- Collaborate with other engineers in the team to implement best practices around large-scale data processing.
Requirements
- 5+ years of experience as a Data Engineer or in a similar role working with large data sets and ETL processes.
- 7+ years of industry experience in software development.
- Knowledge and practical use of RDBMS technologies such as MySQL, Postgres, SQL Server, or Oracle.
- Strong SQL experience with an emphasis on analytic queries and performance.
- Experience with various "NoSQL" technologies such as MongoDB or Elasticsearch.
- Familiarity with either native database or external change-data-capture technologies.
- Practical use of data formats such as CSV, XML, JSON, and Parquet.
- Use of data flow and transformation tools such as Apache Nifi or Talend. PDI experience is desirable.
- Implementation of ETL processes in languages such as Java, Python, or NodeJS.
- Use of large shared data stores such as Amazon S3 or Hadoop File System.
- Thorough and practical use of various Data Warehouse data schemas (Snowflake, Star, OLAP cube).
- Use of cloud-based data warehouse technologies including Snowflake and AWS RedShift.
Salary: $120,000 - $150,000 per year
Benefits
- A positive, friendly, and international working environment.
- A trust-based flexible working environment.
Estimated Salary Range
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