• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 27th Sep 2022

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-Design, build and operationalize large scale enterprise data solutions and applications using
one or more of AWS data and analytics services in combination with 3rd parties

- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.

-Experience with AWS cloud data lake for development of real-time or near real-time use
cases

-Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and
processing

-Build data pipeline frameworks to automate high-volume and real-time data delivery

-Create prototypes and proof-of-concepts for iterative development.

-Experience with NoSQL databases, such as DynamoDB, MongoDB etc

-Create and maintain optimal data pipeline architecture,

-Identify, design, and implement internal process improvements: automating manual
processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

-Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.

-Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.

-Work with stakeholders including the Executive, Product, Data and Design teams to assist
with data-related technical issues and support their data infrastructure needs.

-Keep our data separated and secure across national boundaries through multiple data
centers and AWS regions.

-Create data tools for analytics and data scientist team members that assist them in building
and optimizing our product into an innovative industry leader.

-Evangelize a very high standard of quality, reliability and performance for data models and
algorithms that can be streamlined into the engineering and sciences workflow

-Build and enhance data pipeline architecture by designing and implementing data ingestion
solutions.