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    AWS Data Engineer - Newark, United States - FYI Solutions

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    Accounting / Finance
    Description

    Role: AWS Data Engineer

    Location: Newark, NJ - Hybrid

    Target Start Date: ASAP

    Right to hire: Yes

    Qualifications:

    Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience

    Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises

    Programming experience with Python, Shell scripting and SQL

    Solid experience of AWS services such as CloudFormation, S3, Athena , Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.

    Solid experience implementing solutions on AWS based data lakes.

    Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, ElasticSearch

    Serverless application development using AWS Lambda

    Experience in AWS data lake/data warehouse/business analytics

    Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS

    Knowledge of ETL/ELT

    End-to-end data solutions (ingest, storage, integration, processing, access) on AWS

    Architect and implement CI/CD strategy for EDP

    Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)

    Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift

    Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift

    Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case

    AWS Solutions Architect or AWS Developer Certification preferred

    Good understanding of Lakehouse/data cloud architecture

    Responsibilities:

    Designing, building and maintaining efficient, reusable, and reliable architecture and code.

    Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc)

    Ensure the best possible performance and quality of high scale data engineering project.

    Participate in the architecture and system design discussions.

    Independently perform hands on development and unit testing of the applications;

    Collaborate with the development team and build individual components into complex enterprise web systems;

    Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle;

    Responsible to identify and resolve any performance issues.

    Keep up to date with new technology development and implementation.

    Participate in code review to make sure standards and best practices are met.


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