Data Engineer

Data Engineer

Philip Morris International
5-8 years
Not Specified

Job Description

We've chosen to do something incredible. We're totally transforming our business and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide.
With huge change, comes huge opportunity. So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.
We are looking for Data Engineer who based in Jakarta.
As a Data Engineer at PMI, you will develop data pipelines for ingestion to data lake using Python, Spark engine and various AWS services (e.g., AWS Glue, Lambda, EMR). You will also support our regional data teams with data preparation, ingestion, machine learning automation (MLflow, AWS Sagemaker) and application management (Airflow orchestration, CICD with Git, Jenkins).
. Research, evaluate, and develop PMI Enterprise Data Platform capabilities to solve new data problems and challenges.
. Handle production support issues as they arise (problem solving, debugging).
. Work in one or more cross-functional teams to develop prototypes, proof of concepts and implementing data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets leveraging PMI Enterprise Data Platform.
. Extend and improve our internal frameworks, develop guidelines and best practices.
. Perform technology and product research to better define requirements, resolve important issues and improve overall capability of PMI Enterprise Data Platform.
. Communicate with various teams, keeping everyone up to date on deployments, outages, issues, and solutions.
. Bachelor's degree in computer science or similar
. Knowledge and 5+ years of proven experience working with: Python (advanced), Pyspark, SQL programming (advance), building ETL processes (batch and streaming), Code versioning (GIT), Data ingestion from APIs
. Experience with building API to serve machine learning model result
. Problem solving skills
. Quick learning of new technologies
. Experience in cloud technology (GCP or AWS) is mandatory
. Experience in Airflow and ML Flow, Docker on Kubernetes would be an asset
. Knowledge of software engineering best practices across the development lifecycle
. Proven success in communicating with users, other technical teams, and management to collect requirements and define data engineering strategy
. Experience providing technical leadership and mentoring other Data Engineers for best practices
Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join Sampoerna and you too can:
. Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
. Be part of an inclusive, diverse culture, where everyone's contribution is respected collaborate with some of the world's best people and feel like you belong.
. Pursue your ambitions and develop your skills with a global business - our staggering and scale provides endless opportunities to progress.
. Take pride in delivering our promise to society: to improve the lives of a billion smokers.
Apply today and let's #MakeHistory together.

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