Professional experience:
- Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree.
- As a Technology Architect providing technical leadership in handling for various types of business problems.
- Able to design the technical architecture, platforms selection, develop & test solutions to address the client problems & requirement.
- Experience in designing & developing data processing solutions & custom ETL pipeline for varied data formats.
- Knowledge on scalable processing frameworks, RDBMS & NoSQL platforms.
- Firm understanding of one/two Programming/ scripting languages like Python, Java, Perl or scala.
- Strong individual planning and project management skills, able to juggle multiple tasks and priorities.
- Track record of delivering strong business results.
Preferable :
- Experience in Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Spark, and Hbase).
- Experience in Kafka, Storm and Spark streaming.
- Deep understanding of Database architectures.
- Ability to build and maintain modern cloud architecture, e.g. AWS, Google Cloud, Azure etc.
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