ASSOCIATE DATA ENGINEER

Descripción del puesto.
Be a part of a revolutionary change! 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 build a smoke-free future.
With huge change, comes great opportunity.
So, wherever you join us, you'll enjoy the freedom dream up and deliver, better, brighter solutions and the space to move your career forward in endlessly different directions.
The SFP Group is undergoing a critical overhaul as we look to transform into an agile, consumer-centric business that harnesses technological innovation to deliver better, science-backed alternatives to millions of adult smokers around the world.
It is only by focusing on our strategic priorities and the right organization, fully enabled to deliver what matters the strategies most for our consumers along their journey toward better alternatives, that we will be able to deliver a smoke-free future.
Here, you can make a difference.
You can shape the consumer journey, from discovery and acquisition through to conversion and loyalty.
And you can watch your efforts lead to meaningful change in the lives of smokers on their way to better alternatives.
You'll develop your skills, collaborating across functions, markets and regions.
If you want to make a life-changing impact on consumers, there's no better place.
General Expertise.
* 1-2 years' experience working in data warehouse projects * Problem-Solving.
Ability to troubleshoot and resolve data pipeline issues.
* Communication.
Effectively communicating technical details to non-technical stakeholders.
* Collaboration.
Working with cross-functional teams, including data scientists, analysts, and business users.
* Attention to Detail.
Ensuring data accuracy and integrity.
* Business Acumen.
Ability to understand the data and the business context and able to create an effective and efficient data flow   Technical Skills.
* Matillion.
* ETL Processes.
Proficiency in designing and implementing ETL (Extract, Transform, Load) workflows.
* Orchestration.
Managing and scheduling data pipelines.
* Data Transformation.
Using Matillion's transformation components to clean and prepare data.
* Integration.
Connecting to various data sources and destinations.
* Snowflake.
* Data Warehousing.
Deep understanding of Snowflake's architecture, including data type, collation, virtual warehouses, micro-partitions, and clustering.
* SQL.
Advanced SQL skills for querying, data manipulation, and performance tuning.
* AWS.
* Basic AWS Services.
Understanding of EC2, Lambda, and other relevant services for data engineering.
* Programming Languages.
* Python.
For scripting, automation, and data manipulation.
* SQL.
For database querying and data transformation.
* DevOps.
* Experience in creating pipelines using established CI/CD frameworks in cloud (e.
.
AWS specific CICD skills that includes Bitbucket, Jenkins,...) Things to know before you apply.
* Relocation support is not available for this job * If you have been in your current job for less than 12 months or if you are on a Performance Improvement Programme, you must get the approval of your current manager before applying for the job.
* To find out more about eligibility to apply for internal jobs, please refer to the Open Sourcing Employee Guidebook on the Internal Careers Portal