DevOps & Data Engineer

LogicExcell LLC

United States

15 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Applications Architecture Microsoft Azure Cloud Computing Cloud Computing Security Databases Continuous Integration Data Cleansing Information Engineering Data Integration Extract Transform Load (ETL) Data Mining

+28 more

Data Warehousing Database Development Database Schema DevOps Github Monitoring of Systems Python (Programming Language) PostgreSQL Cloud Services Software Engineering SQL Databases Virtual Machines Enterprise Data Management Delivery Pipeline Snowflake Software Troubleshooting Infrastructure as Code (IaC) Backend Git Fastapi Infrastructure Automation Frameworks Information Technology Deployment Automation Restful APIs Terraform Software Version Control Data Pipelines Docker

Job description

We are seeking a Senior DevOps & Data Engineer to design, build, and maintain cloud infrastructure, databases, APIs, and data integration solutions in Microsoft Azure. This role combines DevOps, data engineering, and backend development responsibilities, supporting applications built with Python and FastAPI while enabling scalable, secure, and automated cloud solutions., Cloud Infrastructure & DevOps

Design, deploy, and manage Azure cloud infrastructure and services.
Configure and maintain servers, virtual machines, networking, storage, and databases.
Implement Infrastructure as Code (IaC) and CI/CD deployment pipelines.
Monitor system performance, reliability, security, and operational health.
Automate deployments, environment provisioning, and operational processes.

Database & Data Engineering

Configure, administer, and optimize PostgreSQL databases.
Design and implement data extraction, transformation, and loading (ETL/ELT) pipelines.
Develop and maintain integrations with Snowflake and other enterprise data platforms.
Create and optimize SQL queries, data models, and database schemas.
Ensure data quality, integrity, and governance across platforms.

API & Application Development

Develop and maintain RESTful APIs using Python and FastAPI.
Build integrations between cloud services, databases, and external systems.
Support application architecture, testing, deployment, and troubleshooting.
Collaborate with software engineers and stakeholders to deliver scalable solutions.

Requirements

Bachelor’’s degree in Computer Science, Engineering, Information Technology, or equivalent experience.
5+ years of experience in DevOps, Data Engineering, Software Engineering, or related roles.
Hands-on experience with Microsoft Azure cloud services.
Strong knowledge of PostgreSQL administration and SQL development.
Experience designing and supporting ETL/ELT data pipelines.
Experience working with Snowflake data warehouse solutions.
Proficiency in Python development and FastAPI framework.
Experience with Git, source control, and CI/CD pipelines.
Strong troubleshooting, automation, and problem-solving skills.

Preferred Qualifications

Experience with Terraform or other Infrastructure as Code tools.
Experience with Docker and Kubernetes.
Experience with GitHub Actions or Azure DevOps.
Knowledge of cloud security best practices and enterprise architecture patterns.

Technical Skills

Cloud & DevOps: Azure, Terraform, CI/CD, GitHub Actions, Azure DevOps Databases: PostgreSQL, Snowflake, SQL Programming: Python, FastAPI, REST APIs Data Engineering: ETL/ELT, Data Integration, Data Modeling, Data Quality Tools: Git/GitHub, Azure Storage, Monitoring & Logging Solutions