Job Description:
As a Big Data Engineer create and maintain the architecture and systems using distributed computing frameworks. Design
and build integrations between internal systems to support planning forecasting and scenario modelling. Operationalize ML
models for demand forecasting inventory optimization and supply chain analytics. Develop intuitive tools for planners and
business users to interact with forecast adjust plans and simulate outcomes. Establish and maintain CI/CD pipelines using
Gitlab to automate testing deployment and monitoring. Drive agile product development working closely with Product UX
and Planning teams to deliver high-impact features. Mentor engineers and promote best practices in architecture testing
and DevOps.
Champion strong engineering practices including:
Test-driven development (TDD)
Code reviews and pair programming
Scalable architecture and modular design
Observability logging and performance monitoring
Key Responsibilities:
8 years of experience in software engineering with 2 years in technical leadership role.
Strong full stack development skills with modern frameworks (React ).
Experience with Python (Pytest) Pandas or ML libraries (e.g. Prophet XGBoost TensorFlow).
Experience with streaming frameworks such as Kafka
Knowledge of SQL ETL Data-warehousing and data-modelling techniques
Experience with Snowflake Airflow Postgres or similar cloud offerings.
Proven experience implementing and managing CI/CD pipelines and automated testing frameworks.
Strong understanding of cloud infrastructure (AWS GCP or Azure).
Excellent communication and cross-functional collaboration skills.
Anaplan model building experience is a plus.
Job Description: As a Big Data Engineer create and maintain the architecture and systems using distributed computing frameworks. Design and build integrations between internal systems to support planning forecasting and scenario modelling. Operationalize ML models for demand forecasting inventor...
Job Description:
As a Big Data Engineer create and maintain the architecture and systems using distributed computing frameworks. Design
and build integrations between internal systems to support planning forecasting and scenario modelling. Operationalize ML
models for demand forecasting inventory optimization and supply chain analytics. Develop intuitive tools for planners and
business users to interact with forecast adjust plans and simulate outcomes. Establish and maintain CI/CD pipelines using
Gitlab to automate testing deployment and monitoring. Drive agile product development working closely with Product UX
and Planning teams to deliver high-impact features. Mentor engineers and promote best practices in architecture testing
and DevOps.
Champion strong engineering practices including:
Test-driven development (TDD)
Code reviews and pair programming
Scalable architecture and modular design
Observability logging and performance monitoring
Key Responsibilities:
8 years of experience in software engineering with 2 years in technical leadership role.
Strong full stack development skills with modern frameworks (React ).
Experience with Python (Pytest) Pandas or ML libraries (e.g. Prophet XGBoost TensorFlow).
Experience with streaming frameworks such as Kafka
Knowledge of SQL ETL Data-warehousing and data-modelling techniques
Experience with Snowflake Airflow Postgres or similar cloud offerings.
Proven experience implementing and managing CI/CD pipelines and automated testing frameworks.
Strong understanding of cloud infrastructure (AWS GCP or Azure).
Excellent communication and cross-functional collaboration skills.
Anaplan model building experience is a plus.
View more
View less