Role: AWS Cloud Engineer

Location: Plano, TX

Duration: 1 year



Client Project Description:



This project involves building the real-time and batch data pipeline in the
AWS cloud to provide data to the online retirement application and migrate
the legacy db2 based data system to the AWS cloud.
Skillset Requirements: Having overall experience more than 5 years on data
engineer + AWS

Must have:
Strong knowledge on object-oriented design and programming, data
structures, algorithms, databases SQL and relational designDemonstrable
expertise with Python, Elasticsearch, and Spark, wrangling of various data
formats - CSV, XML, JSON, Parquet. Experience with the following
technologies is highly desirable: R, AWS cloud computing, Apache Airflow,
Apache Kafka, Kibana, Node.js, Java, Python, AWS lambda and step functions.
Experience with both the relational and NoSQL database design
paradigmsExperience with indexing and querying data in
ElasticsearchExperience with large-scale data warehousing and analytics
projects, including using AWS technologies – Redshift, S3, and EC2Working
with various storage backends, possibly including Postgres, Redshift,
DynamoDB, and SnowflakeContributing to Docker services in node.js,
spring-boot and PythonExperience with Agile methodology, using test-driven
development.Excellent command of written and spoken English self-driven
problem solver

Additional skills which add value:
Aware of different Build/Source Code Configuration management tools -
Maven/GitWorked on setting up CI/CD Pipeline for large development
teamsJenkins + Plugin, CI/CD Pipeline, MavenDistributed Computing
technologies, in particular, Hadoop MapReduce, Spark / Spark-SQL, YARN/MR2



Thanks...

Uday Varanganti
Recruiting Specialist
uday.varanga...@performancesoftech.com

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