Phillips Precision MedicraftElmwood Park
Under broad oversight and in compliance with Company policies and procedures, this position requires a high-energy individual, degree of creativity, mechanical knowhow, superior interpersonal skills, and the ability to create engineering programs, and develop/drive changes as needed.
...
NetAppMoonachie
Lead and execute complex software engineering projects in the data & storage area. As a Principal Engineer in the NetApp’s Cloud Platforms organization, you will be responsible for leading and executing our most challenging and complex projects.
You will be responsible for decomposing complex proble...
NetAppHasbrouck Heights
As a Principal Engineer in the NetApp’s Cloud Platforms organization, you will be responsible for leading and executing our most challenging and complex projects. You will be responsible for decomposing complex problems into simple solutions, understanding system interdependencies and limitations, a...
Ampcus IncorporatedNew York, 9 mi from Newark
Software engineers at are more than just order takers; they see a problem and leverage innovative technology to address it. You will be working with very large data sets, well beyond the scalability limits of conventional relational databases.
We're looking...
Diverse LynxNewark
Role: Azure Data Engineer
" Strong knowledge of Azure data services, including Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synapse Analytics, and Azure SQL Server
" Experience with data processing languages such as SQL, Python...
HireTalentNewark
Job Description :
Data Tech team at Prudential Financials is looking for a Data Engineer to join a diverse team dedicated to providing best in class data services to our customers, stakeholders and partners. As a part of our CDO organization, you...
Capital OneNewark
Locations: TX - Plano, United States of America, Plano, Texas
Senior Data Engineer
Senior Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative...
Capital OneNewark
Center 2 (19050), United States of America, McLean, Virginia
Senior Data Engineer - Principal Associate
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative...
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AWS Data Engineer - RTH
Newark | www.resume-library.com |
Our direct client is seeking an AWS Data Engineer for an 8-month contract-to-hire opportunity with their Newark, NJ location.
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.
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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