API Data Engineer

10+ years of experience in software/data engineering, API development, or cloud platform engineering 

Work with development teams and stakeholders to deliver technical solutions that enable business capabilities 

Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets 

Build robust data pipelines on the cloud using AWS Glue, Confluent Kafka, Aurora Postgres, EKS, PySpark, Lambda, and Snowflake 

Build REST-based data APIs using Python/C#, EKS, and Lambda 

Build infrastructure for optimal ETL from various data sources using SQL and AWS big data technologies 

Work with data and analytics experts to improve functionality in data systems 

Implement architectures to handle large-scale data and its organization 

Execute data design and architecture strategies aligned with enterprise standards 

Deliver reference architectures outlining principles and best practices for technology advancement 

Design and maintain Terraform-based infrastructure using modular patterns, private module registries, and multi-environment state management 

Build and maintain GitHub Actions, Octopus , Liquibase CI/CD pipelines for API, data, and infrastructure delivery — including PR validation, Terraform plan gates, and environment promotion 

Implement reusable GitHub workflow patterns and integrate with enterprise DevSecOps shared workflows for build, test, deploy, and rollback 

Instrument services with Dynatrace for distributed tracing, metrics, and production observability on Lambda and containerized workloads 

Define monitoring, alerting, and SLOs in Dynatrace; use APM data for performance tuning, incident response, and reliability improvements