Senior AWS Data Engineer: Data Lakes & Pipelines

Valiant Technologies LLC; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

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

Responsibilities include building ingestion pipelines, ETL/ELT processes, data lake and data warehouse implementations, serverless architectures, CI/CD for data platforms, and cost optimization, while participating in

Qualifications

• 8+ 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.
• Experience with serverless application development and data pipeline orchestration.

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 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 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.

Skills

Python

Shell scripting

SQL

AWS services

ETL/ELT

Data modeling

Education

Bachelor’s degree in Computer Science or related

Tools

AWS Glue

Redshift

S3

Kinesis

Lambda

EMR/Spark

Job description

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

Responsibilities include building ingestion pipelines, ETL/ELT processes, data lake and data warehouse implementations, serverless architectures, CI/CD for data platforms, and cost optimization, while participating in