Pride and passion live at the heart of Fiat Chrysler Automobiles in our iconic Chrysler House building in Downtown Detroit. Within the Business Analytics area, we leverage cutting edge technologies to allow us to deliver exceptional customer experiences. Significant challenges and opportunities await those who join us in this newly created division of FCA. We are on the threshold of the biggest revolution in personal transportation. We need great people who share our passions.
Everything you do -- and learn -- will be leading to the future at FCA. Fiat Chrysler Automobiles is a place where people are empowered to drive change, where bold challenges are taken on and an entrepreneurial spirit is ever present. Our culture never settles on the status quo; rather, collaboration, curiosity, and unconventional thinking. Every employee, regardless of position in the company, is expected to drive change and lead people.
We employ five key leadership principles that reflect our core values and provide the foundation for the cultural transformation of our workforce: We are a meritocracy. Leadership is a function of leading change and leading people. We embrace and cherish competition. We aim to achieve best-in-class performance. We deliver what we promise.
Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Engineer. This position will play a pivotal role in operationalizing the most-urgent data and analytics initiatives for commercial functions in which FCA operates. The Data Engineer is a role in the Business Analytics & Data Services (BA) department and reports through the CIO.
The bulk of the Data Engineer's work will be building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers. Data Engineers also need to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines. The newly hired Data Engineer will be the key interface in operationalizing data and analytics on behalf of the ICT sales and marketing team, the business, and the BA teams. Candidates need to be very much self-driven, curious and creative.
As a Data Engineer, you will: source/load/transform and store data; create, maintain and optimize data pipelines as workloads move from development to production for specific use cases. Drive automation through effective metadata management using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assist with renovating the data management infrastructure to drive automation in data integration and management. Learn and use modern data preparation, integration, and AI-enabled metadata management tools and techniques. Track data consumption patterns. Perform intelligent sampling and caching. Recommend and automate -- existing and future integration flows. Ensure that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives. Work with data governance teams (and information stewards within these teams) and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
Five years of work experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
Three years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative
Strong experience with advanced analytics tools for object-oriented/object function scripting using languages such as R, Python, Java, C++, Scala and others
Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management
Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows
Strong experience with popular database programming languages including SQL, PL/SQL and others for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases like MongoDB, Cassandra, others for non-relational databases
Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies including ETL/ELT, data replication/CDC, message-oriented data movement, API design, and access and upcoming data ingestion and integration technologies such as stream data integration, CEP, and data virtualization
Strong experience in working with SQL on Hadoop tools and technologies including [HIVE, Impala, Presto, others] from an open source perspective and [Hortonworks Data Flow (HDF), Dremio, Informatica, Talend, others] from a commercial vendor perspective
Basic experience in working with [data governance/data quality] and [data security] teams and specifically [information stewards] and [privacy and security officers] in moving data pipelines into production with appropriate data quality, governance, security standards, and certification
Master's degree or Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science or a related quantitative field
Strong experience in working with both open-source and commercial message queuing technologies [such as Kafka, JMS, Azure Service Bus, Amazon Simple Queuing Service, others], stream data integration technologies such as [Apache Nifi, Apache Beam, Apache Kafka Streams, Amazon Kinesis, others] and stream analytics technologies such as [Apache Kafka KSQL Apache Spark Streaming Apache Samza, others]
Ability to work across multiple deployment environments including [cloud, on-premises, and hybrid], multiple operating systems and through containerization techniques such as [Docker, Kubernetes, AWS Elastic Container Service and others]
Basic experience working with popular data discovery, analytics and BI software tools like [Tableau, Qlik, PowerBI and others] for semantic-layer-based data discovery
Strong experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
Adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines
Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
Superior presentation skills, including storytelling and other techniques to guide, inspire, and explain analytics capabilities and techniques to the organization
Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.