AWS Data Engineer

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 $95,000.00 per year

Application Question(s):

• Are you ready to attend F2F interview (2nd or Final round)?

Work Location: Hybrid remote in Newark, NJ 07102