Job
Description
Job Title: Big Data Engineer Key Responsibilities Demonstrate deep hands-on expertise in Databricks, Python, and SQL, Design and implement Big Data solutions using technologies such as: Apache Spark, Hadoop ecosystem, Apache Kafka NoSQL databases (e-g , MongoDB, Cassandra) Work as a Big Data Engineer with a strong focus on: Query and performance tuning Troubleshooting and debugging Spark and other big data solutions Writing complex SQL queries Implement and work with data architecture patterns, including: Data Lakehouse, Delta Lake Streaming architectures (Lambda/Kappa) Build and deploy data engineering pipelines using CI/CD automation best practices, Apply theoretical best practices to technical data engineering methods and solutions, Work with Data Warehousing/ETL/ELT, Relational Databases, and Massively Parallel Processing (MPP) technologies, Additional Knowledge & Exposure Understanding of the Data Lifecycle and Data Mesh concepts, Familiarity with eXtollo service offerings and onboarding processes, Experience with Azure Cloud and Azure Data Factory (ADF) pipelines, Exposure to data analytics and complex event processing (CEP), (Preferred) Knowledge of the Aftersales domain and its data sources, Required Skills Excellent written and verbal communication skills, Strong analytical and problem-solving abilities, Collaborative mindset with the ability to work in a fast-paced, agile environment, Qualifications Bachelor of Engineering in Computer Science, Information Technology, or a related field, Preferred Certifications: Azure, Databricks,
