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Manager Data Management

vor 2 Monaten

Cologne, Deutschland Stellantis Vollzeit

Summary:

We are seeking a highly skilled manager to lead our Data Ingestion & Operations Team. The ideal candidate will have a strong background in Big Data frameworks and platforms, with a focus on Scala programming with Spark, AWS, and cloud DevOps.


Key Responsibilities:

• Oversee the design, implementation, and management of data ingestion and processing pipelines using Big Data frameworks and platforms.

• Collaborate with IT team, Data Engineers, and Data Scientists to maintain and deploy applications.

• Automate and streamline operations and processes; build and maintain tools for integration, deployment, monitoring, and operations.

• Create and maintain data pipelines for data collection, processing, and storage.

• Ensure smooth data flow and integration with autonomous driving systems and features.

• Improve data management systems through monitoring, performance tuning, and cost optimization.

• Ensure compliance with security and regulatory requirements.

• Troubleshoot and resolve issues related to data management and pipeline.

• Provide technical guidance and support to other teams.

• Use data mining/data analysis methods to identify patterns, trends, and insights.

• Develop and maintain documentation for data management systems and processes.

• Stay up-to-date with emerging technologies and trends in data management, machine learning, and data analytics.

• Collaborate with cross-functional teams to deliver projects on time and within budget.

• Manage budget requests and payments for activities executed externally.

• Manage technical conversations with suppliers.


Basic Qualifications:

• Advanced degree in Computer Science, Data Science, or related field.

• At least 10 years of experience in data management, data analytics, or a related field.

• Strong proficiency with Big Data frameworks and platforms, including Spark, Hadoop, AWS, Databricks, Snowflake, Airflow, SQL, and scientific programming with Python.

• Hands-on experience with Docker, EKS, Ansible, Jenkins, Maven, and CI/CD frameworks.

• Proficiency with software engineering principles and experience designing data models.

• Demonstrated ability to lead a team and interface with suppliers.

• Excellent written and verbal communication skills in English.


Preferred Qualifications:

• Experience with AWS services such as Elastic Search, S3, Redshift, Glue, Athena, EMR, Lambda, and ADDF platform.

• Strong experience using data mining/data analysis methods and building models.

• Experience in the Hadoop ecosystem and software development using Scala, Python, Java.

• Knowledge of build systems such as Maven, Bazel, or CMake.

• Experience with Docker and OpenShift/Kubernetes.

• Background in data analytics and experience working within an AGILE or Scrum framework.


Additional Skills:

• Experience with Airflow, AngularJS, and REST Framework.

• High level of technical problem-solving ability.

• Strong teamwork and communication skills.


At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams, will allow us to better meet the evolving needs of our customers and care for our future.