Experian | Hiring | Bigdata Engineer | BigDataKB.com | 2022-09-27

Job Location: Hyderฤbฤd

Company Description


Discover the Unexpected

Experian is the worldโ€™s leading global information services company. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index. Weโ€™re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. For more than 125 years, weโ€™ve helped businesses grow, consumers and small businesses gain access to financial services, and economies and communities flourish โ€“ and weโ€™re not done.

Our 18k amazing employees in 40+ countries believe the possibilities for you, and the world, are growing. Weโ€™re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow.

To do this we employ the greatest and brightest minds that share our purpose and want to make a difference. Experian Asia Pacific’s culture, people and environments are key differentiators. We focus on what truly matters; diversity and inclusion, work/life balance, flexible working, development, equity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on. Weโ€™re committed to fostering a strong sense of belonging and a place where you can bring your true self to work.

Our uniqueness is that we truly value yours. Weโ€™re an award winning organisation due to our strong people first focus. This includes Top Employerโ„ข and Great Place To Workโ„ข accreditations.

Learn more at www.experianplc.com

Job Description

  • BS degree in computer science, computer engineering or equivalent
  • 5 โ€“ 6 years of experience delivering enterprise software solutions ( > 8 years for lead)
  • Proficient in Spark, Scala, Python, AWS Cloud technologies
  • 3+ years of experience across multiple Hadoop / Spark technologies such as Hadoop, MapReduce, HDFS, HBase, Hive, Flume, Sqoop, Kafka, Scala
  • Flair for data, schema, data model, how to bring efficiency in big data related life cycle
  • Must be able to quickly understand technical and business requirements and can translate them into technical implementations
  • Experience with Agile Development methodologies
  • Experience with data ingestion and transformation
  • Solid understanding of secure application development methodologies
  • Experienced in developing microservices using spring framework is a plus
  • Experience with Airflow and Python will be preferred
  • Understanding of automated QA needs related to Big data
  • Strong object-oriented design and analysis skills
  • Excellent written and verbal communication skills

Qualifications

  • Utilize your software engineering skills including Java, Spark, Python, Scala to Analyze disparate, complex systems and collaboratively design new products and services
  • Integrate new data sources and tools
  • Implement scalable and reliable distributed data replication strategies
  • Ability to mentor and provide direction in architecture and design to onsite/offshore developers
  • Collaborate with other teams to design and develop and deploy data tools that support both operations and product use cases
  • Perform analysis of large data sets using components from the Hadoop ecosystem
  • Own product features from the development, testing through to production deployment
  • Evaluate big data technologies and prototype solutions to improve our data processing architecture

Automate everything

Additional Information

Experian Careers – Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Apply Here

Submit CV To All Data Science Job Consultants Across Bharat For Free

๐Ÿ” Explore All Related ITSM Jobs Below! ๐Ÿš€ โœ… Select your preferred “Job Category” in the Job Category Filter ๐ŸŽฏ ๐Ÿ”Ž Hit “Search” to find matching jobs ๐Ÿ”ฅ โž• Click the “+” icon that appears just before the company name to see the Job Detail & Apply Link ๐Ÿ“๐Ÿ’ผ

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *