Data Engineer II

🕒 il y a 7 jours

🤠 Texas – Distant

🤠 Texas – Remote

💵 $58 000 - $165 500 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🚰 Ingénieur Data

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GM Financial

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 1992

🚘 Automobile

💼 Conseil

📦 Logistique

Automotive • Consulting • Logistics

GM Financial est la société de financement automobile captive de General Motors, fournissant des solutions de financement de véhicules, de location, et des services connexes aux consommateurs, concessionnaires, flottes et investisseurs. Elle propose des outils de préqualification, de gestion de compte et de paiement mobile, ainsi qu'un financement pour véhicules électriques, des services en fin de location, des solutions de prêt commercial et de flotte, et des produits pour les investisseurs (GM Financial Right Notes), soutenant les opérations de prêt pour les particuliers et les entreprises.

Description

• Help evaluate and implement emerging batch and streaming data engineering technologies • Drive innovation and support the adoption of modern data solutions • Collaborate with data scientists, architects, developers, and business partners • Build, deploy, and optimize scalable data pipelines and automation processes that enable advanced analytics and business insights.

🎯 Exigences

• 2-4 years of hands-on experience with data engineering required • Bachelor’s degree in related field or equivalent experience required • Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Pulsar, Flume or similar distributed systems. • Experience with ingesting various source data formats such as JSON, Parquet, CSV, SequenceFile, Cloud Databases, Document Databases like CosmosDB, MQ, Relational Databases such as Oracle. • Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation. • Understanding of cloud computing technologies, business drivers and emerging computing trends. • Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape. • Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, ADLS etc. • Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management. • Strong background with source control management systems (GIT or Subversion); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps). • Experience with NoSQL data stores such as CosmosDB, MongoDB. • Experience in working with vehicle telemetry and auto insurance data is a plus. • Creating and maintaining ETL processes. • Knowledgeable of best practices in information technology governance and privacy compliance. • Experience with Adobe solutions (ideally Adobe Experience Platform) and REST APIs. • Troubleshoot complex problems and works across teams to meet commitments. • Excellent computer skills and proficiency in digital data collection. • Ability to work in an Agile/Scrum team environment • Strong interpersonal, verbal, and writing skills. • Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses • SQL experience: querying data and sharing what insights can be derived • Understanding of cloud solutions such as Microsoft Azure & Amazon AWS cloud architecture & services • Understanding of GDPR, privacy & security topics. Understanding of data management and governance tools like Atlan, Immuta etc. is a plus. • Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python

🏖️ Avantages

• 401K matching • bonding leave for new parents (12 weeks, 100% paid) • tuition assistance • training • GM employee auto discount • community service pay • nine company holidays