Job Requirements
Skills
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Job description for Manager IT Data Engineering at PT HM Sampoerna Tbk
- Designing strategy and develop PMI Enterprise Data Platform capabilities to solve new data problems and challenges.
- Managing 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, analysing, 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.
- Manage various stakeholders with different technical background, business, management
- Bachelor’s degree in computer science or similar
- Senior Technology Leadership experience leading geographically disperse team in a large, complex, and multi-national organization
- Knowledge 8+ 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
- Exceptional stakeholder engagement skills with the ability to build relationships at every level and influence decision making through multiple ways
- Proven experience of mentoring and coaching junior, mid and senior-level people in the past and somebody that deeply enjoys contributing to the acceleration of the teams overall effectiveness
- Excellent business partners management skills with the ability to translate technical complexities into business-friendly language
- Problem solving skills
- Quick learning of new technologies
- Strategic ability to relate the current technology and application landscape to the evolving business needs and identify the gaps
- Have a good interpersonal skill, leadership, organizational agility
- 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
- 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 size and scale provides endless opportunities to progress.
- Take pride in delivering our promise to society: to deliver a smoke-free future
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