Cloud Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Position Description:
Opportunity Overview
We are seeking a highly skilled Senior Cloud Data Solutions Engineer to drive the design development and scaling of data-driven platforms that support advanced analytics machine learning and high-value business decisioning. This role is instrumental in shaping next-generation data trading decisioning and risk management systems.
You will work hands-on across the full data and ML pipelinespanning data engineering MLOps and cloud-native developmentwhile also influencing architectural direction and mentoring engineering teams. This is an excellent opportunity to work in a modern collaborative and innovation-focused technology environment.
What You Will Do
. Lead by Doing: Design develop and review scalable data pipelines high-performance backend systems and ML engineering workflows; own projects end-to-end with deep hands-on coding.
. Set Technical Direction: Establish engineering best practices in data ML and cloud platforms; evaluate modern technologies and drive adoption in alignment with strategic goals.
. Cross-Functional Collaboration: Partner with data scientists business stakeholders and technology teams to translate requirements into production-grade solutions.
. Deliver at Scale: Ensure high-quality execution across data and ML productsmanage risks maintain compliance with enterprise standards and uphold robust data governance and security practices.
. Architect for the Future: Contribute to large-scale cloud architectures that support distributed processing real-time analytics and next-gen ML capabilities.
What You Need to Succeed
Must Have
. 7 years designing and building high-performance data-intensive backend systems with strong knowledge of distributed systems.
. 5 years hands-on experience with big data and distributed processing tools (e.g. Apache Spark Hadoop AWS Glue AWS EMR Snowflake Azure Databricks Azure Data Factory).
. Solid understanding of the machine learning lifecycle including MLOps practices such as model deployment monitoring CI/CD and automated pipelines.
. Hands-on expertise with cloud platforms (AWS or Azure) and scalable architectural patterns.
. Working knowledge of front-end frameworks (React Angular) and backend frameworks (FastAPI Flask or Spring Boot).
. Strong communication skills with the ability to explain technical concepts to diverse audiences.
. Bachelors degree in Computer Science Engineering or related field (Masters/PhD preferred).
Nice to Have
. Experience with AWS SageMaker ML model serving or LLM deployment workflows.
. Experience in full-stack development.
Skills:
- Angular
- Apache Spark
- Continuous Integration
- Data Engineering
- Flask
- React Native
- Scala
- Snowflake
- Big Data
- Spring Boot
What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
The COMPANY is one of the few end-to-end consulting firms with the scale, reach, capabilities and commitment to meet clients’ enterprise digital transformation needs. Our 77,500 consultants and professionals work side-by-side with clients in 10 industries across more than 400 location ... View more
