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Senior AWS Data Engineer (Data Lake & Analytics)

ICONMA, LLC

Newark, NJ

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JOB DETAILS
SALARY
$1–$57.14 Per Hour
SKILLS
AWS Lambda, Amazon Relational Database Service (RDS), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Best Practices, Business Analysis, Cloud Architecture, Cloud Computing, Code Reviews, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Lake, Data Management, Data Migration, Data Quality, Data Warehousing, Data Warehousing Applications, Database Extract Transform and Load (ETL), Database Technology, Elasticsearch, Electronic Medical Records, Engineering, File Systems, Health Plan, Information Technology Consulting, Network Attached Storage (NAS), Problem Solving Skills, Python Programming/Scripting Language, Relational Databases (RDBMS), SQL (Structured Query Language), Simple Queue Service (SQS), Software Development, Software Development Lifecycle (SDLC), Systems Analysis, Team Player, Test Plan/Schedule, Unit Test, Unix Shell Programming, Use Cases
LOCATION
Newark, NJ
POSTED
1 day ago
Our Client, an IT Services and Consultant company, is looking for a Senior AWS Data Engineer (Data Lake & Analytics) for their Newark, NJ/ Hybrid location.
 
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 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.
  • 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 like 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 or ELT End-to-end data solutions (ingest, storage, integration, processing, access) on AWS Architect and implement CI or 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
 
Requirements:
  • RequiredSkills: ,AWS Glue, AWS, AWS Cloud Formation, AWS Athena, AWS S3 bucket
  • Job Type: 50CW00 Business Associate
  • Certifications Required:
  • AWS Certified Data Analytics or AWS Certified Solutions Architect or an equivalent cloud data certification focused on AWS services preferred
  • Years of Experience: 11.00 Years of Experience
 
Why Should You Apply?

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ICONMA, LLC

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