AWS Data Engineer

Robotic Technologies Automation; Dallas (TX); On-site; USD 77,000 - 110,000; Full time

Job summary

Robotic Technologies Automation is seeking an AWS Data Engineer in Dallas, TX for a 7-month engagement. The role focuses on designing, building, and maintaining scalable data pipelines and architectures in AWS, collaborating with data scientists and stakeholders to deliver robust data solutions.

The ideal candidate will have 5+ years of AWS data engineering experience, strong Python/SQL, and hands-on use of Glue, Redshift, S3, EMR, Lambda and Kinesis, with a focus on data lakes and data

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent.
• 5+ years building data lakes, data warehouses and data apps on AWS for large enterprises.
• Strong Python, SQL and shell scripting.
• Hands-on with AWS services: Glue, Redshift, S3, EMR, Lambda, Kinesis, CloudFormation, IAM, KMS, Secrets Manager.
• Experience with serverless data pipelines and orchestration tools.
• Knowledge of ETL/ELT, data modeling and cloud data architectures.
• Excellent collaboration and communication skills.

Responsibilities

• Design, build and optimize scalable data pipelines and architectures on AWS.
• Create robust data ingestion pipelines from on-premise to AWS and within AWS using Glue, S3, Redshift, Redshift Spectrum and Kinesis.
• Develop and manage ETL/ELT processes to ensure data quality and security across sources.
• Architect end-to-end data solutions focusing on data lakes and data warehouses.
• Participate in architecture reviews and guide best practices for data engineering.
• Perform hands-on development, unit testing and code reviews.
• Implement serverless apps using Lambda, API Gateway and Step Functions.
• Migrate data from relational databases, file systems and APIs to AWS data lakes and Redshift.
• Enable high-velocity streaming with Kinesis and Kafka where applicable.
• Define CI/CD strategies for enterprise data platforms.
• Collaborate with product, operations, QA and cross-functional teams.
• Stay updated on new tools and pilot them for real-world use cases.

Skills

Python

SQL

AWS services

ETL/ELT

Data pipelines

Snowflake/S3

Serverless

Spark/EMR

Education

Bachelor's degree in CS/Software Eng

Tools

CloudFormation

S3

Redshift

Glue

EMR

Lambda

Kinesis

RDS

DynamoDB

Step Functions

Job description

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.