Position: AWS Data Engineer
Location: Newark, NJ
Work Arrangement: Hybrid – 3 days onsite
Duration: Long Term Contract
Final round must be onsite interview
Qualifications & Key Skills:
- 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.
Pay: Up to $100,000.00 per year
Application Question(s):
- Are you ready to attend F2F interview (2nd or Final round)?
Work Location: Hybrid remote in Newark, NJ 07102