Aws Big Data Technical Leader

**Company presentation**
- A world leader in gases, technologies and services for Industry and Health, Air Liquide is present in 78 countries with approximately 64,500 employees and serves more than 3.8 million customers and patients. Oxygen, nitrogen and hydrogen are essential small molecules for life, matter and energy. They embody Air Liquide’s scientific territory and have been at the core of the company’s activities since its creation in 1902.

**Entity and activity description**
Air Liquide’s ambition is to be a leader in its industry, deliver long term performance and contribute to sustainability - with a strong commitment to climate change and energy transition at the heart of its strategy. The company’s customer-centric transformation strategy aims at profitable, regular and responsible growth over the long term. It relies on operational excellence, selective investments, open innovation and a network organization implemented by the Group worldwide. Through the commitment and inventiveness of its people, Air Liquide leverages energy and environment transition, changes in healthcare and digitization, and delivers greater value to all its stakeholders.

Air Liquide’s revenue amounted to more than 20 billion euros in 2020. Air Liquide is listed on the Euronext Paris stock exchange (compartment A) and belongs to the CAC 40, EURO STOXX 50 and FTSE4Good indexes

**Missions and Responsibilities**
Within Americas Hub Data & BI Team, and reporting to the Data & BI Product Manager, the AWS Big Data Technical Leader designs, develops and industrializes “Big Data” Cloud-based solutions, highly distributed which fuels strategic business decisions across the organisation. They act as design authority for Big Data developments on the data lake, and play an active role in engineering data pipelines, integrations, transformation workflows and managing data lake infrastructure and related toolings. They define technological roadmap, and fosters Agile and DevOps methodologies. They contribute in successful delivery of ongoing and future projects, contribute in scale, run and maintenance of existing and future products, continuous improvement and automation of the Americas Data Platform.

**Responsibilities**:

- Work with product manager in defining the strategy and implementation of the data lake, ETL, ingestion tools and big data solutions that fuels strategic business decisions across the organization
- Assists in the execution of the Digital and IT roadmap
- Creates and implements a technical strategy to enable the infrastructure to scale to larger projects and teams
- Contributes to architecting complex big data solutions. Own the execution of the data lake engineering team, oversee process and delivery timelines to keep projects on schedule. Provide support for the data processing.
- Establish best practices for naming, governing, managing, modeling, cleansing, transforming,
- moving, storing, and searching all data. Define local norms for local purposes according to group recommendations
- Participates in selection of Big Data Engineers, trains and lead their developments on project, run and maintenance of products
- Leads a team of Big Data engineers who build data pipelines, integrations, transformation workflows and manage data lake/warehouse infrastructure and related tooling
- Ensure high levels of data quality across the related business areas. Establish SLAs for all data and processes. Develop data quality checks for source and target data sets.
- Establish SLAs for all data and processes.
- Foster an agile / devops methodology
- Work Closely with Air Liquide Data & BI teams around the globe: for centralized support ( security, etc...), and alignment in terms of architecture and product orientation, to propose new features for the core product
- Design and implement visualization and analysis tools, and automations, to facilitate the work of data developers, data scientists and data analysts
- Works with his/her team as well as with cross-functional teams to continuously improve work processes. Continuously analyses the functioning of the activity, identifies causes of dysfunctions and proposes corrective measures accordingly.

**Competencies and Profile**

**Required Qualifications**:

- Bachelors in Computer Sciences or Information Technology
- 4+ years of experience in Hadoop, Spark (PySpark, Scala), Python for data engineering and SQL
- 4 years of experience in Git development workflow, DevOps/CI-CD tools: JIRA, GitLab, GitLab CI, NEXUS, SonarQube
- 4+ years of experience in CloudFormation, IAM, Lambda, SQS, Athena, Airflow, EMR,
- Glue, S3, Unix
- 4+ years of experience in AWS DevOps
- 3+ years of experience with Docker and REST APIs

Required Certifications
- AWS Certified Big Data - Specialty
- AWS Certified Solutions Architect - Associate
- AWS Certified Developer - Associate
- _Agreeing to disclose your COVID-19 vaccination status, as a condition of employment._
- _Agreeing to be