Salary Range:$85,000 – $119,000 Salary range estimated by Zippia
Posted a day ago
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Description
Job Title: AWS Data Engineer
Location: Newark, NJ - Hybrid (2/3 days onsite/week)
Duration: 8 Months (Temp to Perm Hire)
Qualifications:
Responsibilities:
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 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, 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.