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• No of position :- ( 1 )

• Post :- 18th Dec 2020

Job Role: Spark Hadoop Developer with AWS Experience

Location – Santa Clara, CA or Tempe, AZ

Duration: 12+ Month

Job Description:

·         Demonstrated experience in building data pipelines in data analytics implementations such as Data Lake and Data Warehouse

·         At least 2 instances of end to end implementation of data processing pipeline

·         Experience configuring or developing custom code components for data ingestion, data processing and data provisioning, using Big data & distributed computing platforms such as Hadoop, Spark, and Cloud platforms such as AWS or Azure.

·         Hands on experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development in 2 or more of the following areas

·         End to end implementation of Cloud data engineering solution AWS (EC2, S3, EMR, Spectrum, Dynamo DB, RDS, Redshift, Glue, Kinesis)

·         End to end implementation of Big data solution on Cloudera/Hortonworks/MapR ecosystem

·         Frameworks, reusable components, accelerators, CICD automation

·         Languages (Python, Scala) Proficiency in data modelling, for both structured and unstructured data, for various layers of storage

• Ability to collaborate closely with business analysts, architects and client stake holders to create technical specifications
• Ensure quality of code components delivered by employing unit testing and test automation techniques including CI in DevOps environments.
• Ability to profile data, assess data quality in the context of business rules, and incorporate validation and certification mechanism to ensure data quality
• Ability to review technical deliverables, mentor and drive technical teams to deliver quality technical deliverables.
• Understand system Architecture and provide component level design specifications, both high level and low -level design