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Data Engineer
Newark, NJOur client 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 will develop software applications supporting data projects in a cost effective and scalable manner. 6 month contract. Will convert to perm if you desire.
Job Responsibilities:
Qualification:
Requirements:
As a part of our CDO organization, you will develop software applications supporting data projects in a cost effective and scalable manner. 6 month contract. Will convert to perm if you desire.
Job Responsibilities:
- Designing, building and maintaining efficient, reusable, and reliable architecture and code.
- Ensure the best possible performance and quality of high scale web applications and services.
- 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, frontend design, 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
Qualification:
- Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
- Experience implementing software applications 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, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
- Solid experience implementing solutions on AWS based data lakes.
- 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
- AWS Solutions Architect or AWS Developer Certification required
Requirements:
- 5+ years of experience as Data application developer
- Experience developing business applications using NoSQL/SQL databases.
- Experience working with Object stores(S3) and JSON is must have
- Should have good experience with AWS Services – Glue, Lambda, Step Functions, SQS, DynamoDB, S3, Redshift.
- Plus, to have knowledge on Snowflake