Experience Required:
- 4 to 7 years of post-qualification experience in data warehousing and big data technologies
- Experience working on databases like SQL server, Oracle, NOSQL DB etc.
- Hands on experience in open source Big data technologies such as R, Spark, Scala, Python, Hadoop, Yarn, Microsoft Azure Big data stack
- Experience in processing large data sets using big data technologies and exposure on structured, semi-structured and un-structured data
- Experience in any of the ETL tool ( Informatica, SSIS, Talend etc)
- Experience on BI reporting tools ( Tableau, QlikView, SSRS etc) , Experience in writing SQL queries and development/debugging of stored procedures
- Engineering graduates / post-graduates in Computer Science or Masters of Computer Application [MCA] from premium institutes
Responsibilities:
- Work closely with other teams to quickly and accurately assemble appropriate databases for data mining (data management).
- Participate in the development of Big data solutions using technologies like Spark, Scala, Microsoft Azure etc.
- Use big data technologies to analyze large data for data analysis
- Develop new components of the big data platform
- Work closely with Product Management and Data Scientist teams to define and refine the big data platform
- Collaborate with other technology teams and architects to define and develop cross-function technology stack interactions
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