AWS Data Engineer
Listed on 2026-10-26
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Software Development
AWS, Data Engineering
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 on-prem 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 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 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 and Redshift
Implement high velocity streaming solutions using Amazon Kinesis SQS and Kafka preferred
Architect and implement CICD strategies for enterprise data platforms
Collaborate with product operations QA and cross functional teams throughout the software development cycle
Stay abreast of new technology developments implement POCs for new tools technologies and onboard them for real world 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 Cloud Formation 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 ETLELT 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
Preferred Qualifications:Experience with additional AWS services API Gateway Elastic Search SQS
Experience with infrastructureascode tools eg Terraform Cloud Formation
Experience with Dev Ops practices and CICD pipelines
Experience implementing endtoend streaming solutions Amazon Kinesis SQS Kafka
AWS Solutions Architect or AWS Developer Certification preferred
Understanding of Lakehousedata cloud architecture
Knowledge of data governance and compliance standards
The pay range that the employer in good faith reasonably expects to pay for this position is $32.36/hour - $50.56/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…
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