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    Senior Data Engineer - Hyderabad, India - JAGGAER

    JAGGAER
    JAGGAER Hyderabad, India

    4 days ago

    Default job background
    Technology / Internet
    Description

    About the Company:

    JAGGAER is the worlds 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 worlds largest education, manufacturing, health care, retail, consumer package goods, logistics, construction, utilities companies and public service organizations. Additionally, JAGGAER holds 38 patents, more than any other spend management company.

    Job Overview:

    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 what will create high-performance, optimized, and robust date pipeline processes to move data from disparate sources from around the globe.

    Principal 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

    Position 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, AWS RedShift.

    JAGGAER is committed to promoting Equal Opportunities in employment. All employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marital or civil partner status, pregnancy or maternity (Protected Characteristics Equality Act 2010).

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