AWS Data Engineer: Scalable Data Lakes & Pipelines

Valiant Technologies LLC; Dallas (TX); On-site; USD 77,000 - 110,000; Part time

Job summary

Valiant Technologies LLC seeks an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and architectures in the AWS cloud. You will collaborate with data scientists, analysts, and stakeholders to deliver robust data solutions.

The role requires 5 years of AWS data engineering experience, strong Python/SQL skills, and extensive AWS service knowledge to implement ETL/ELT processes, data ingestion, and data lake/warehouse architectures.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent
• 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, EMR/Spark, 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 ETL/ELT, data modeling and big data technologies
• Familiarity with data warehousing concepts and cloud-based architecture
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork abilities

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, EMR, Spark, Kinesis, and SQS
• Develop and manage ETL/ELT processes to collect, process and store data from multiple sources ensuring data quality, integrity and security
• Architect and implement end-to-end data solutions including ingestion, storage, integration, processing and access on AWS with focus on data lakes and data warehouses
• Participate in architecture and system design discussions for high-scale data engineering projects
• Independently perform hands-on 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 AWS-based data lakes (S3, RDS, Aurora, Redshift)
• Implement high-velocity streaming solutions using Amazon Kinesis, SQS and Kafka (preferred)
• Architect and implement CI/CD strategies for enterprise data platforms
• Collaborate with product, operations, QA and cross-functional teams throughout the software development cycle
• Stay abreast of new technologies, run POCs and onboard them for real-world use cases
• Identify and resolve performance issues and continuously optimize for cost, reliability and scalability

Skills

Python

SQL

ETL

Data Modeling

Big Data

Communication

Teamwork

Education

Bachelor's degree in CS/CE/IT

Tools

AWS

Glue

Redshift

S3

Lambda

EMR/Spark

Kinesis

CloudFormation

IAM

Job description

Valiant Technologies LLC seeks an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and architectures in the AWS cloud. You will collaborate with data scientists, analysts, and stakeholders to deliver robust data solutions.

The role requires 5 years of AWS data engineering experience, strong Python/SQL skills, and extensive AWS service knowledge to implement ETL/ELT processes, data ingestion, and data lake/warehouse architectures.