Overview ABOUT JAGGAER: JAGGAER is leading the Autonomous Commerce revolution, a self-governing B2B commerce experience between buyers, suppliers, things (IoT), and partners. Leveraging AI and machine learning, our intelligent procurement solutions provide enterprise buyers and suppliers with smart-match recommendations that align buyer needs with supplier capabilities. Our solutions autonomously execute many of the repetitive, behind-the-scenes tasks required to facilitate enterprise commerce. We are over 1,200 employees strong, all focused on customer success. For more information, visit WHAT WE’RE LOOKING FOR: Are you excited about Big data and Analytics? Would you love the opportunity to design and build data pipeline technologies that will power the next generation advanced analytics capabilities? Does solving complex problems motivate you? If yes, we are looking for you!JAGGAER is looking for a Senior Data Engineer to join our Data Pipeline team and help build the technologies used to drive our advanced Analytics capabilities. You will be part of a team responsible for the vision and architecture of scalable data pipeline solutions utilizing various data movement and transformation technologies. You will join a strong team of data engineers who create high-performance, optimized, and robust date pipeline processes to move data from disparate sources from around the globe. Principal Responsibilities
WHAT YOU WILL DO: Contribute, as part of a team, in designing, testing, and implementing sophisticated data pipeline technologies to extract and transform data from source systems Perform data-modelling 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 the software development life-cycle 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 Position Requirements WHAT YOU WILL BRING: 5+ years of experience as a Data Engineer or in a similar role working with large data sets and ELT/ETL processes 7+ years of industry experience in software development Knowledge and practical use of a wide variety 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 various data formats such as CSV, XML, JSON, and Parquet Use of Data flow and transformation tools such as Apache Nifi or Talend Implementation of ELT 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) Use of cloud-based data warehouse technologies including Snowflake, AWS RedShift. WHAT WE OFFER: We strive to support our Rockstars & their families. Your health & well-being are important. JAGGAER offers a variety of programs to help you manage your overall wellness and be your best self. At JAGGAER, you’ll find great medical plans, adoption benefits, wellness reimbursement, generous parental leave, 401(k) match, a flexible work environment, no limit on vacation days for exempt employees, and much more! OUR VALUES: Our values are at the core of who we are at JAGGAER. You will see these values entrenched in how we support our customers, work with team members, build our products, and in the culture we’ve created. Be Collaborative: Foster a culture of mutual respect, working effectively and productively with others, and sharing responsibility for team success. Be Accountable: Take ownership, learn from challenges, be proactive, and rise above one’s circumstances to achieve the result. Be Adaptable: Embrace change, encourage innovation, and remain effective when experiencing major change. EEO: JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, or other applicable legally protected characteristics. ACCESSIBILITY: JAGGAER is committed to providing access and reasonable accommodation to applicants. If you are a qualified individual with a disability or a disabled veteran and you think you may require an accommodation for any part of the recruitment process, please send a request to: All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Pay Transparency Nondiscrimination Provision (dol.gov) Know Your Rights: WOrkplace Discrimination is Illegal (dol.gov)
amazon-s3 Artificial intelligence (AI) Python Node.js MongoDB Amazon Redshift Data Engineering JSON apache-nifi Talend snowflake-cloud-data-platform Big data Elasticsearch CSV data-pipelines SQL XML Java Analytics Machine Learning NoSQL parquet Hadoop