Position: Senior Data Engineer (IRC183406)
Company: GlobalLogic
Experience required: 5y
English level: upper

- Having overall 10+ years of working experience with solid skills in machine learning using sci-kit-learn, TensorFlow, Keras, and Spark MLLib. 
- Experienced in building data pipelines for both batch and streaming workloads.
- Proficiency in big data engineering and analytics technologies such as Hadoop MapReduce, Apache Spark, PySpark, Google DataFlow, Apache Beam, HBase, Google BigTable, Google BigQuery, ElasticSearch, Apache Kafka, Azure Databricks, Azure ADF
- Deep knowledge of data engineering on Google Cloud Platform and Microsoft Azure
- Proficient in coordinating with Dev/QA teams, managing multiple tasks with competing deadlines, self-motivated, and a strong team player

**Job Responsibilities**
The primary responsibility is to design, develop, maintain, and optimize an organization's data infrastructure. This includes building and maintaining data pipelines, creating ETL processes, designing and implementing data warehouses and databases, and ensuring the data infrastructure is scalable and efficient.

**Department/Project Description**
Our customer is a multinational automotive company that designs, produces, and sells vehicles and related products worldwide—making a wide range of vehicles, including passenger cars, commercial vehicles, and luxury vehicles under various brand names. The company is also involved in other areas, such as electric vehicles, autonomous driving technology, and mobility services. In recent years, our customer has been focusing on digital transformation and innovation to improve their products and services. This includes investments in artificial intelligence, data analytics, and connected car technology.

Within a project team, you will be involved in the investigation of the initial set of requirements and business use cases, designing the first version of data mart architecture, and implementing the PoC of one major business use case.