Data Engineer W2 Role

nctions / Responsibilities

· Build and document automated data pipelines from a wide range of data sources, with a strong focus on automation and scalability for our Connected Vehicle Platform.

· Develop highly available data services to support near-real-time integrations with our Connected Vehicle Platform using a multi-cloud-based technology stack.

· Ensure product and technical features are delivered to spec and on-time in a DevOps fashion through Github/Github Actions.

· Contribute to overall architecture, framework, and design patterns to store and process high data volumes of connected vehicle data.

· Develop solutions to measure, improve, and monitor data quality based on business requirements from connected vehicle data.

· Collaborate with product owners, reporting analysts, data analysts, and business partners within an Agile/Scrum methodology to design and implement reporting and analytics features specifically tailored to the Connected Vehicle Platform.

· Proactively support product health by building automated, scalable, and sustainable solutions, with a relentless focus on minimizing defects and technical.

· Provide post-implementation production support for data pipelines, with a deep understanding of the unique challenges and requirements of the Connected Vehicle Platform.

Qualifications

· Bachelors' degree in Computer Science, Informatics, or a related field required.

· Masters’ degree in Computer Science preferred.

· 3+ years of experience in a data engineering role.

· 2+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda, IAM,etc.).

· Hands-on experience with ETL tools and techniques (Desirable).

· Basic proficiency with a dialect of ANSI SQL and Python.

· Knowledge of and experience with RDBMS platforms, such as MS SQL Server, MySQL, Postgres. NoSQL databases experience is a plus.

· Experience with Snowflake Data Warehouses.

· Experience in Data design and advanced Data Modeling in the Automotive industry.

· Experience with creating Kafka Topics, connectors, consumers and processors.

· Experience with participating in time sensitive projects in a highly collaborative, multi-disciplinary team environment.

· AWS or GCP Certification is plus.

Education

· Bachelor's degree in Computer Science, Informatics, Business Administration or related field required

· Master’s Degree in Computer Science, Business Administration or related field preferred