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Cloud Data Engineer

2 months ago

Chicago, United States MMD Services Full time

As a Senior Cloud Data Engineer, you will play a pivotal role in shaping and building new analytical solutions to deploy in support of our internal clients. You will be part of a ground-floor, highly visible team that is collaborative, passionate about data, and positioned for growth. You will drive the creation of an Enterprise Data Platform, recommend tools and capabilities, and work closely with engineering, architecture, and migration teams to inform strategy and architecture design.

In this role, you will:


  • Achieve key performance indicators on a daily, weekly, and monthly basis.
  • Inspire, guide, and develop a team of data engineering professionals.
  • Spearhead organization-wide data projects and ensure adherence to company standards.
  • Engage in collaborative efforts with IT leaders, business units, partners, and suppliers from project inception through to completion.
  • Formulate and execute a comprehensive data engineering strategy and blueprint for data architecture and sophisticated analytics.
  • Build and oversee the entire data pipeline lifecycle, from data intake and processing to delivery.
  • Design and develop enterprise data solutions leveraging leading architecture practices and advanced data technologies.
  • Implement solutions for data migration, data delivery, and machine learning (ML) pipelines.
  • Implement Identity Access Management (IAM) Roles and policies.
  • Automate deployments of AWS services and Business Intelligence (BI) applications.
  • Work closely with application development and data engineer teams on day-to-day tasks, project planning, and implementation.
  • Keep abreast of technological advancements in the field and related sectors.


Minimum Experience

  • 10+ years of IT industry experience within data processing, warehousing, and management.
  • 6+ years of experience in application/platform engineering or related technical work including business intelligence and analytics.
  • 5+ years of experience working with enterprise data platforms and in data design, implementation, and stewardship.
  • Proven experience leading teams technically and acting as an escalation point.
  • Advanced SQL experience within relational or NoSQL databases.
  • Extensive experience with AWS, including services like S3, EC2, RDS, Lambda, CloudFormation, and Redshift or Snowflake.
  • ETL Tooling experience (e.g., Talend Open Studio, Informatica, Pentaho).
  • Strong scripting experience using PowerShell and/or Python.
  • Proven experience with CI/CD tools, pipelines, and automation (e.g., GitHub Actions, Jenkins, Terraform).
  • Excellent decision-making, judgment capabilities, and communication skills.


Additional Qualifications

  • Experience and comfort solving problems in an ambiguous environment with constant change.
  • Ability to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with various individuals and organizational partners.
  • Experience designing and building scalable and robust data pipelines for data-driven decisions.
  • Effective problem-solving and analytical skills, with the ability to manage multiple projects and report across different stakeholders.
  • Passionate about programming, learning new technologies, and staying on top of the latest cloud resources.


Preferred Experience

  • Experience with large-scale enterprise streaming services such as Kafka.
  • Experience with Kubernetes and Docker containers or AWS Fargate.
  • Experience implementing applications on both Windows and Linux server OS.
  • Understanding of networking, security groups, or policy management related to cloud resources across multiple operating systems.


This is an Architect/Developer role requiring hands-on experience with integrating data via API and Kafka streams, utilizing technologies like Informatica IICS, Snowflake, and Python. The ideal candidate is open-minded, solution-oriented, and a team player who demonstrates a commitment to our client's core values.