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    Data Engineer - Newark, United States - SPECTRAFORCE

    SPECTRAFORCE background
    Description

    Job Title:
    AWS Data Engineer

    All potential applicants are encouraged to scroll through and read the complete job description before applying

    Location:
    Newark, NJ – Hybrid (2/3 days onsite/week)

    Duration: 8 Months (Temp to Perm Hire)

    Qualifications:

    Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experienceExperience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises.

    Programming experience with Python, Shell scripting and SQLSolid 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, ElasticsearchServerless application development using AWS LambdaExperience 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/ELTEnd-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 RedshiftMigrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and RedshiftImplement 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 architectureResponsibilities:
    Designing, building, and maintaining efficient, reusable, and reliable architecture and code.

    Build reliable and robust Data ingestion pipelines (within AWS, On-Prem 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.

    #J-18808-Ljbffr

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