Loker Data Engineer Philip Morris International. Philip Morris International sedang memerlukan kandidat untuk mengisi posisi sebagai Data Engineer. Philip Morris International memberikan persyaratan, ketentuan dan spesifikasi pekerjaan sebagai Data Engineer yang akan ditempatkan di Jakarta.

Rekrutmen Data Engineer Philip Morris International Jakarta Mei 2025

Berikut ini adalah persyaratan yang harus kalian penuhi untuk mendaftar Data Engineer Philip Morris International Jakarta yang dibuka pada 8 Mei 2025 ini:

MAKE HISTORY WITH US!

At PMI, 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.

Role overview:

You are highly driven to constantly innovate and drive positive change, but more importantly, you consistently deliver great results. As a data engineer in PMI Business Solutions, you will have the opportunity to be a part of something different. This position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building new system, delivering results, working on exciting and challenging projects.

To find out more about eligibility to apply for internal jobs, please refer to the Open Sourcing Employee Guidebook on the Internal Careers Portal.

Your ‘day to day’

• Creating, Testing and Deploying Pipelines: Design, develop, and maintain data pipelines for efficient data ingestion, processing, and delivery.
• Ensure Data Completeness and Quality: Implement mechanisms to ensure data completeness, accuracy, and consistency across all data sources and processes.
• Optimizing and Maintaining Warehouse: Continuously improve the performance and scalability of the data warehouse, implementing optimization techniques and best practices.
• Continuous Improvement: Identify opportunities for process optimization and automation, striving for continuous improvement in data management practices. • Data Analysis: Analyze and interpret data to provide actionable insights and recommendations to stakeholders, supporting data-driven decision-making processes.
• Work with Vendors: Collaborate with external vendors to integrate new data sources into the data ecosystem, ensuring seamless data flow and integration.
• Problem-Solving: Leveraging innovative approaches to optimize processes and enhance data quality.
• Proactive Role: Actively anticipate and resolve potential data issues before they escalate, demonstrating a proactive approach to data.

Who we’re looking for

• 
  You have graduated in (Business) Informatics, IT, computer science or a related field.

• 5 + years of experience working with SQL Server such as Snowflake, S3 buckets, CI/CD pipelines, Jenkins or GIT.

• Proficient in SQL and an additional programming language such as PowerShell or Python.

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

• Ideal candidates will have a deep understanding of technical and functional designs for Databases, Data Warehousing, ETL, Reporting, and Data Mining areas.

• Strong understanding of data modeling concepts and techniques, including dimensional modeling and schema design, to ensure efficient data storage and retrieva

Preferred Qualification:

• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Implement standardized, automated operational processes to deliver accurate and timely data for reporting to meet or exceed SLAs.
• Understanding of development and management of data infrastructure and service.
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
• Experience working directly with remote technical teams

Please note that only online applications will be taken into consideration. Only selected candidates will be contacted.

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