Data Engineer (m/f/d)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

DuPont is seeking highly motivated data engineers to join a new but fast-growing data science team in DuPont’s Water & Protection division. The Water & Protection division develops innovative products in essential markets such as water purification, green buildings, and personal protection (e.g. Tyvek® protective suits, Kevlar® ballistic vests). As part of this team you will have a high impact on a strategic digital transformation initiative with opportunities for career advancement as the team grows.

In this role you will build the future of Industry 4.0 by developing automated data pipelines in DuPont’s data lake using modern distributed computing technology. DuPont’s data lake is a critical piece of infrastructure that will enable advanced data analytics and machine learning. You will collaborate closely with end users on a wide variety of initiatives ranging from business optimization (pricing, marketing, sales, etc), supply chain & manufacturing (e.g. yield optimization, predictive maintenance, industry 4.0), and product development (e.g. IoT, autonomous systems). The ideal candidate will have strong attention to detail and highly collaborative: able to deliver high quality production code and coach junior team members.

Position activities include:

• Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks.
• Build and maintain a Lakehouse architecture in ADLS / Databricks.
• Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.
• Work with DevOps team to deploy solutions in production environments.
• Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors.
• Participate as a full member of the global Analytics team, providing solutions for and insights into data related items.
• Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices. You will lead projects that include other team members and participate in projects led by other team members.
• Apply change management tools including training, communication and documentation to manage upgrades, changes and data migrations.

JOB QUALIFICATIONS

A successful candidate must have:

• Strong communication skills in English language (both written and spoken).
• Strong knowledge of data concepts and tools.
• Strong programming skills in either SQL or PySpark.
• Ability to be an effective team member with remote colleagues spread across the world.
• Experience with cloud computing, preferably Azure (incl. ADF and ADLS).

Skills desirable but not mandatory are:

• Distributed systems (e.g. Apache Spark or Databricks).
• Delta lake and Lakehouse architecture.
• Multiple data programming languages (Spark-SQL, PySpark, Pandas).
• ML engineering (e.g. MLflow, scikit-learn).
• Power BI.
• Experience with version control (e.g. Git), DevOps, CI/CD.

Why should you Join us?

You would have the opportunity to join an industry-leading science company with technology-based and sustainable materials, ingredients and solutions, sustaining a solid reputation for safety and technology leadership. Key part of our success is innovation and we see people as a fundamental pillar to succeed in this. Additionally, diversity, equity and inclusion are central to our high-performing culture.

Key reasons for you to apply

• Highly competitive compensation package.
• An industry-leading benefits package and variable incentives.
• Numerous learning and personal development opportunities.
• An amazing Career Journey with opportunities within our diverse businesses & projects.
• Flexible working model & flexible schedule.