Jaggaer - Senior Data Engineer - ETL/Data Pipeline

Job Title : Senior Data Engineer Company Name : Docskiff (A JAGGAER Company) Department : Development Location : Hyderabad Mode of the Work : Remote / Hybrid About the Company : JAGGAER is the world's largest independent spend management company, with over 1,850 customers connected to a network of 3.7 million suppliers in 70 countries, served by offices located in North America, Latin America, throughout Europe, the United Kingdom, Australia, Asia, and the Middle East. JAGGAER offers complete SaaS-based indirect and direct eProcurement solutions with advanced spend analytics, complex sourcing, supplier management, contract lifecycle management, savings tracking, and intelligent workflow capabilities. We have pioneered spend solutions for over two decades and continue to lead the innovation curve by listening to customers and analyzing the market. Our solutions suites are trusted by the world's largest education, manufacturing, health care, retail, consumer package goods, logistics, construction, utility companies, and public service organizations. Additionally, JAGGAER holds 38 patents, more than any other spend management company. 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 (ref:hirist.tech)

Location: in, IN

Posted Date: 11/28/2024