Data Engineer AWS M/F

Who are we?

Joining NEXTON means joining a company where the spirit of a consulting firm, the creativity of a Factory, and the dynamics of an ESN converge! Thanks to our expertise, we support major accounts and pure players such as SNCF, Orange, and BNP Paribas in their digital evolution and innovation strategies. Founded in 2011, NEXTON now brings together a team of more than 450 experts specialized in digital, design, agility, product, and development. Together, they create an ecosystem rich in knowledge and diverse skills.

NEXTON is recruiting a Data Engineer AWS M/F, on a CDI contract, in Paris!

Your future working environment:

One of the main objectives of the group's DATA transformation plan is to develop DATA applications that enrich the experience of their subscribers and allow business teams (steering, marketing, sales, etc.) to become autonomous in the analysis of data and KPIs. In this context, the Group has deployed the tools: AWS, Dataiku, Gitlab, Terraform, Snowflake, Braze, AI, Spark, Python, POWERBI, .etc. to implement sophisticated architectures to ingest more than 100TB of data per day: Datalake, Event-driven, Streaming, etc.

Your missions:

As a Data Engineer, your main missions are:

• To design, develop, and maintain replication and data processing pipelines from heterogeneous sources, in an international context, towards a centralized data platform on AWS.

You are responsible for:

• Development of ETL/ELT pipelines with Airflow, Python, SQL
• Connection to source databases (Exadata, Oracle, etc.)
• Integration of data into AWS (S3, Kinesis, DMS, Lambda...)
• Cleaning, mapping, deduplication, and enrichment of data
• Collaboration with architects to apply target models
• Technical documentation and repositories
• Designing and implementing replication flows
• Harmonizing and transforming data
• Automating data pipelines
• Developing Gitlab CI/CD Pipelines
• Developing IaC for sophisticated full AWS architectures with Terraform, Ansible, and Python.
• Contributing to FinOps

You have at least 4 years of experience as a Data Engineer or Data Integration Engineer in a similar environment. You are dynamic, proactive, autonomous, open-minded, a good communicator, and have great scientific curiosity. You have a very good mastery of the AWS ecosystem (S3, Kinesis, DMS, Lambda…) You have a very good mastery of databases and Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.) You have a mastery of the languages: SQL, Python You have a mastery of processing and orchestration tools (Apache Airflow, dbt, Python, SQL) You have good experience in Terraform for IaC You have knowledge of GitLab CI/CD for deployment automation You have experience with CRMs You have knowledge of data quality, modeling, monitoring, and alerting issues One or more certifications (AWS, Snowflake, Terraform, etc.) are highly appreciated You are proficient in English