About the role
Help shape the future of mobility. At Aptiv, we couldn’t solve mobility’s toughest challenges without our Corporate team. They ensure operations run smoothly by supporting more than 200,000 Aptiv employees and providing the direction and guidance needed as we strive to make the world safer, greener and more connected. IT Data Analytics is a diverse DevOps team of technology enthusiasts enabling our global business. Aptiv has embarked on a Data strategy that focuses on establishing a strong technology team, enterprise data management & cloud-based business solutions. Our team is charged with catalyzing value creation in the most critical areas of Aptiv’s value chain, touching our business by understanding customer demand, manufacturing implications, and our supply base. As a Data Engineer, you will design, develop and implement a cost-effective, scalable, reusable and secured Ingestion framework. You will take advantage of the opportunity to work with business leaders, various stakeholders, and source system SME’s to understand and define the business needs, translate to technical specifications, and ingest data into Google cloud platform, BigQuery. You will design and implement processes for data ingestion, transformation, storage, analysis, modelling, reporting, monitoring, availability, governance and security of high volumes of structured and unstructured data Want to join us? Your Role Pipeline Design & Implementation: Develop and deploy high-throughput data pipelines using the latest GCP technologies. Subject Matter Expertise: Serve as a specialist in data engineering and Google Cloud Platform (GCP) data technologies. Client Communication: Leverage your GCP data engineering experience to engage with clients, understand their
requirements, and translate these into technical data solutions. Technical Translation: Analyze business
requirements and convert them into technical specifications. Create source-to-target mappings, enhance ingestion frameworks to incorporate internal and external data sources, and transform data according to business rules. Data Cataloging: Develop capabilities to support enterprise-wide data cataloging. Security & Privacy: Design data solutions with a focus on security and privacy. Agile & DataOps: Utilize Agile and DataOps methodologies and implementation strategies in project delivery. Your Background Bachelor’s or Master’s degree in any one of the disciplines: Computer Science, Data & Analytics or similar relevant subjects. 4+ yrs years of hands-on IT experience in a similar role. Proven expertise in SQL – subqueries, aggregations, functions, triggers, Indexes, DB optimization, creating/understanding relational data-based models. Deep experience working with Google Data Products (e.g. BigQuery, Dataproc, Dataplex, Looker, Cloud data fusion, Data Catalog, Dataflow, Cloud composer, Analytics Hub, Pub/Sub, Dataprep, Cloud Bigtable, Cloud SQL, Cloud IAM, Google Kubernetes engine, AutoML). Experience in Qlik replicate , Spark (Scala/Python/Java) and Kafka. Excellent written and verbal skills to communicate technical solutions to business teams. Understanding trends, new concepts, industry standards and new technologies in Data and Analytics space. Ability to work with globally distributed teams. Knowledge of Statistical methods and data modelling knowledge. Working knowledge in designing and creating Tableau/Qlik/Power BI dashboards, Alteryx and Informatica Data Quality.
