Lead the development and delivery of cloud-native and data-intensive applications, optimize databases, and manage ML Ops workflows while collaborating with various teams.
TransUnion's Job Applicant Privacy Notice
What We'll Bring:
We are seeking a dynamic and results-driven Technical Lead with hands-on expertise across cloud platforms (AWS and GCP), Big Data technologies, SQL, Full Stack development, and ML Ops. In this cross-functional role, you will develop and deliver projects. You will play a critical role in bridging engineering, data science, and business—to ensure high-quality, scalable solutions that meet strategic goals.What You'll Bring:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 7 to 10 years of experience in project management with technical depth.
- Hands-on experience with both AWS and GCP.
- Strong understanding of Big Data architectures and SQL.
- Experience managing ML Ops workflows and tooling.
- Proficient in Full Stack development with a modern JavaScript or Python framework.
- Familiarity with Agile, Scrum, and DevOps methodologies.
- Excellent communication and stakeholder management skills.
Impact You'll Make:
- Project Delivery -Lead project planning, execution, and delivery for cloud-native and data-intensive applications.
- Mitigate risks, resolve issues, and ensure adherence to Agile/Scrum best practices.
- Collaborate with cross functional teams for achieving the project outcome
- Cloud & Infrastructure (AWS / GCP) -Manage cloud resources, environments, and deployments across AWS and GCP.
- Big Data & Data Engineering - Oversee data ingestion pipelines using technologies such as Spark, Kafka, Hadoop, or Dataproc.
- Work with data teams to ensure data quality, governance, and scalability.
- Integrate structured and unstructured data sources into data lakes and warehouses.
- SQL & Data Analysis
- Support data analysis and reporting efforts for business intelligence.
- Optimize databases (PostgreSQL, MySQL, BigQuery, Redshift, etc.) for performance.
- ML Ops-Manage lifecycle of machine learning models: training, testing, versioning, and deployment.
- Full Stack Engineering -Development of web-based applications using modern frameworks (React, Angular, Node.js, Django, etc.).
Accommodation is available, including for applicants with disabilities, in accordance with applicable laws.
TransUnion's Internal Job Title:
Consultant, Software DevelopmentTop Skills
Angular
AWS
BigQuery
Dataproc
Django
Full Stack Development
GCP
Hadoop
JavaScript
Kafka
Ml Ops
MySQL
Node.js
Postgres
Python
React
Redshift
Spark
SQL
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