Job ID:
J54905
Job Title:
AWS Data Engineer
Location:
Dallas, TX
Duration:
7 Months + Extension
Domain Exposure:
Consumer Staples
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: AWS Data Engineer
Location: Dallas, TX
Duration: 7 Months
Bill Rate: $68/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description:
We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team The ideal candidate will be responsible for designing developing and maintaining scalable data pipelines and architectures in the AWS cloud environment This role will collaborate closely with data scientists analysts and other business stakeholders to deliver robust data solutions
Key Responsibilities:
Design build and maintain efficient reusable and reliable architecture and code for data pipelines and data applications on AWS
Build robust data ingestion pipelines from onprem to AWS and within AWS using AWS services such as Glue Redshift S3 Lambda EMRSpark Kinesis and SQ
Develop and manage ETLELT processes to collect process and store data from multiple sources ensuring data quality integrity and security
Architect and implement endtoend data solutions ingestion storage integration processing access on AWS with a focus on data lakes and data warehouses
Participate in the architecture and system design discussions for highscale data engineering projects
Independently perform handson development unit testing and participate in code reviews to ensure adherence to best practices
Implement serverless applications using AWS Lambda API Gateway Step Functions and other AWS technologies
Migrate data from traditional relational databases file systems and APIs to AWSbased data lakes S3 RDS Aurora and Redshift
Implement highvelocity streaming solutions using Amazon Kinesis SQS and Kafka preferred
Architect and implement CICD strategies for enterprise data platforms
Collaborate with product operations QA and crossfunctional teams throughout the software development cycle
Stay abreast of new technology developments implement POCs for new toolstechnologies and onboard them for realworld use cases
Identify and resolve performance issues and continuously optimize for cost reliability and scalability
Required Qualifications:
Bachelors degree in Computer Science Software Engineering MIS or equivalent combination of education and experience
5 years of experience implementing and supporting data lakes data warehouses and data applications on AWS for large enterprises
Strong programming experience with Python Shell scripting and SQL
Solid experience with AWS services CloudFormation S3 Athena Glue EMRSpark RDS Redshift DynamoDB Lambda Step Functions IAM KMS Secrets Manager
Experience in serverless application development and data pipeline orchestration
Experience in system analysis design development and implementation of data ingestion pipelines in AWS
Knowledge of ETLELT data modeling and big data technologies
Familiarity with data warehousing concepts and cloudbased architecture\
Strong problemsolving skills and attention to detail
Excellent communication and teamwork abilities
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.