Cloud Engineer

Accenture Federal Services • St. Louis, MO

24d • Onsite

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!
The work:
Azure Cloud Engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at scale to support reporting & analytics data products. Writes complex queries to transform raw data sources into accessible models by coding. Cleans, prepares, transforms, and optimizes data at scale for integration and consumption. Implements data management projects and restructures current web architecture. Solves complex data issues and performs root cause analysis to proactively resolve product issues. Owns the data pipeline and supports systems failures.

Requirements

• 3+ years of hands-on experience working with Azure cloud native technologies
• 2+ years experience with developing ETL pipelines in Azure using tools such as Azure Data factory, Event hubs, Event grid, Azure functions
• 2+ years developing data engineering pipeline with Databricks or Spark
• 1+ year working with technologies such as CosmoDB, AzureSQL, Redis, Synapse
• 1+ year working with orchestration tool such as Airflow or Oozie
• Strong programming foundation with python or java
• Strong experience with SQL
• Experience working in Agile teams
• Experience working with streaming and batching solutions
• Experience working with csv, json, xml and complex structures
• Familiar with devOps process, CI/CD, security, coding standard and SDLC cycle
• Active Secret clearance required

Nice To Haves

• Experience with migrations to major cloud
• Experience working with databases, compute, storage and networks on one or more of the following platforms: Azure, AWS, Google Cloud Platform, VMware or Oracle Cloud Platform.

Responsibilities

• integrating data from both internal and external data sources to build a data processing system
• Creates new pipelines and builds reusable components at scale to support reporting & analytics data products
• Writes complex queries to transform raw data sources into accessible models by coding
• Cleans, prepares, transforms, and optimizes data at scale for integration and consumption
• Implements data management projects and restructures current web architecture
• Solves complex data issues and performs root cause analysis to proactively resolve product issues
• Owns the data pipeline and supports systems failures

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed