Group Benefits Manager

Imerys; Paris; Sur place; EUR 50 000 - 90 000; Plein temps

Résumé du poste

An innovative company is looking for a Senior Data Engineer to enhance its data analytics SaaS platform for the retail industry. In this dynamic role, you'll design and manage data pipelines, ensuring seamless integration of diverse data sources into a cutting-edge data lakehouse. Collaborating with cross-functional teams, you'll be instrumental in transforming data into actionable insights, driving business intelligence in a fast-paced environment. Join a team that values cultural diversity and fosters rapid career growth, where your contributions will shape the future of commerce. If you're passionate about data and eager to innovate, this is the perfect opportunity for you.

Qualifications

• 8+ years of experience in Data Engineering/Data Ops.
• Proficiency in Python, Scala, or Java is essential.
• Solid understanding of Spark and data architecture best practices.

Responsabilités

• Design and manage data pipelines for seamless integration into our data lakehouse.
• Collaborate with teams to understand and fulfill their data needs.
• Implement robust systems for data ingestion and processing.

Connaissances

Python

Scala

Java

Spark

Data Engineering

Data Ops

Airflow

Docker

Kubernetes

Kafka

Formation

Bachelor in Computer Science or related field

Master in Data Engineering or related field

Outils

Apache Hive

AWS

Hadoop

Redshift

NoSQL

Data Warehouse

Apache Pig

S3

Description du poste

Description de poste

We build. We create impact.

We are seeking a Senior Data Engineer to support the growth of the company and build our data analytics SaaS platform for the retail industry, particularly in the context of the increasing diversity of volumes, sources, and types of data utilized by the organization.

We work on solutions that:

• Handle large volumes of diverse data from IoT/event streams, computer vision, transactional, operational, and supply chain sources.
• Enrich AI and Computer Vision capabilities with a business intelligence layer, transforming data into actionable insights for retailers.

Your Role

As a member of Memory's Data Team, your role will involve ensuring the optimal use of data within the Memory analytics platforms. Your primary responsibilities will include:

• Design, build, and manage our data pipelines, ensuring data is seamlessly integrated into our data lakehouse.
• Work collaboratively with various teams, including Data Science, Infrastructure, Software, Product, and Consulting, to understand their data needs and provide solutions.
• Implement robust and fault-tolerant systems for data ingestion and processing.
• Participate in data architecture engineering and data management decisions, bringing your strong experience and knowledge to bear.
• Ensure the security, integrity, and compliance/quality of data according to industry and company standards.
• Prepare the data specifications for collection from our partner distributors and assist with the data aspects of implementing Memory analytics platforms.
• Conduct an assessment and continuous improvement of data models which already integrate multiple types of data from various sources (structured and unstructured data).

Qualifications:

• At least 8 years of engineering experience related to Data Engineering/Data Ops.
• Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
• Experience with distributed processing technologies and frameworks such as Spark/Databricks and distributed storage systems (e.g., HDFS).
• Solid understanding of Spark and ability to write, debug, and optimize Spark code.
• Expertise with any orchestrator such as Airflow, Dagster, Prefect, or similar frameworks.
• Knowledge of Data Lakehouse architectures or OLAP/Cube systems for advanced analytics.
• Familiarity with Docker & Kubernetes.
• Knowledge of Kafka, Event Hubs, Pub/Sub is a plus.
• Knowledge of dbt, cube.dev is a plus.
• A deep understanding of best practices in data architecture, data management, security, and compliance.
• Team spirit and excellent communication skills to collaborate with cross-functional teams.

By joining our team, you'll have the opportunity to work on exciting projects in the retail sector and learn and grow in a dynamic environment.

Additional Information:

We innovate. We help communities thrive.

Our mission is to make the physical store a true digital asset.

We are entrepreneurs in search of innovation. Our teams are international and curious about the world around us.

Cultural diversity is embedded in our DNA. It is a unique strength that allows us to work together to serve our clients all over the world.

The growth of our Group is a true catalyst for your career development. Your evolution will be rapid, and you will have the freedom to shape your own future in France and internationally.

You are the key to our success: agile, innovative, passionate talents who are not afraid to take risks, fail, and learn from their mistakes. Whatever your role at VusionGroup, you will contribute to reinventing and reimagining the commerce of tomorrow.

Not the right opportunity for you?

Share this offer or search for all job offers at vusiongroup/careers.

Remote Work: Employment Type:

Full-time

Key Skills:

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Experience: years

Vacancy: 1