AWS Data Engineer Capgemini - 3.7 Newark, NJ Job Details Contract $33.98 - $53.09 an hour 23 hours ago Benefits Health insurance Dental insurance Vision insurance Retirement plan Qualifications Commercial use (data warehousing systems) Database migration or upgrading Full Job Description Newark, NJ, United States (On-site) Contract (5 months 5 days) Published 24 hours ago database technologies apache spark data modeling AWS Cloud Architecture SQL Data Ingestion ETL/ELT dynamodb api management python programming

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. The pay range that the employer in good faith reasonably expects to pay for this position is $33.98/hour - $53.09/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers:

we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.