JAGGAER | Senior Data Engineer | india

2 days ago

india JAGGAER Full time

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 repetitive, behind-the-scenes tasks to facilitate enterprise commerce. We are over 1,250 employees strong, all focused on customer success. For more information, visit


Job Description & Requirements *


Responsibilities


• 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 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 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.


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 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. 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.


What we offer

  • A positive, friendly, and international working environment
  • A trust-based flexible working environment


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.


Kindly note that only applicants who meet the above criteria will be contacted.


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.


* Prior to an offer of employment your name will be checked against regulatory and law enforcement lists of individuals who are restricted parties under applicable laws and regulations. Your data will be processed and stored in JAGGAER systems hosted in the Netherlands and/or Belgium for purposes of these required screening activities. All data will be deleted after three Months.

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