Data Engineer, IT Applications Engineering The Data and Analytics, Applications Engineering team drives business critical decision making, and ensures cross functional alignment of goals and execution for all of Tesla. We stay focused on aligning the highest-level company priorities with strong day-to-day operations and build capabilities to power hyper-growth. As the Data Engineer, you will partner with members of the Data and Analytics team and its leadership in Applications Engineering to provide critical data operations to support our demanding and fast-paced environment where you will work on critical subsystems of an incredibly exciting product.
Design, code, test, correct and document programs and scripts using agreed standards and tools to achieve a well-engineered result.
Derive an overall strategy of data management, within an established information architecture that supports the development and secure operation of existing and new information and digital services.
Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.
Collaborate with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.
Mentor and lead data engineers providing technical guidance and oversight.
Provides ongoing support, monitoring, and maintenance of deployed products.
Work with systems that handle sensitive data with strict SOX controls and change management processes.
Provide timely and accurate estimates for newly proposed functionality enhancements.
Develop, enforce, and recommend enhancements to Applications in the area of standards, methodologies, compliance, and quality assurance practices; participate in design and code walkthroughs.
Utilize technical and domain knowledge to develop and implement effective solutions; provide hands on mentoring to team members through all phases of the Systems Development Life Cycle (SDLC) using Agile practice.
On-call support, where needed.
Strong experience with relational and multi-parallel processing databases like Vertica, SQL Server, and MySQL. NoSQL databases experience is a plus!
Strong background in data warehousing, data modeling, data access, and data storage techniques.
Strong proficiency in SQL and query writing is required
Create, maintain, and enhance ETL/ELT pipelines using Python and Airflow.
Familiarity with common API’s: REST, SOAP
Experience with design, development, and implementation of highly scalable, high-volume software systems and components, source of truth systems for different business areas, developing and maintaining web services in an agile environment.
Strong experience in stellar dashboards and reports creation for C-Level executives.
Ability to support multiple on-going projects in a fast-paced environment.
Strong analytical and problem-solving ability to design an effective solution.
Strong communicational skills, organizational skills, negotiation skills, and flexibility to address competing demands.
Passion for Tesla’s products and belief in Tesla’s mission to accelerate the transition to sustainable energy.
Location – Austin, Texas (USA)
Nice to have:
Experience with data science tools such as Pandas, Numpy, R, Tensorflow, Keras
Understanding of distributed computing, i.e. how HDFS, Spark and Presto work
Work experience with SSIS, Informatica
Knowledge of real-time messaging tools such as RabbitMQ, Kafka, Apache Beam, Apache Flink, Spark
Experience in Big Data processing using Apache Hadoop/Spark ecosystem applications like Hadoop, Hive, Spark, and HDFS preferable
Experience working with a system at scale and with Docker/Kubernetes/Jenkins CI/CD pipeline.