Databricks Engineer - Data Analytics & AI Division

The Project We are looking for a Data Engineer (Databricks) to join our partner's international team. The role focuses on building and optimizing modern data platforms, developing scalable data pipelines, and supporting cloud-based analytics solutions in a dynamic environment. Requirements Requirements Bachelor's degree in Computer Science, Information Technology, or a related field More than 4 years of experience in data engineering, big data, or cloud-based analytics, with a strong preference for experience in banking or fintech sector More than 2 years of hands-on experience with Databricks (Workflows, Jobs, Notebooks, and Clusters), including Delta Lake, Spark Structured Streaming Expertise in Apache Spark (PySpark/Scala) for large-scale data processing and real-time analytics Advanced experience in SQL and Python/Scala, with experience in data transformations and ETL pipelines Strong understanding of Delta Lake architecture for data versioning, ACID transactions, and schema evolution Experience with Cloud Platforms, particularly Databricks on Azure Knowledge of Lakehouse architecture and designing scalable, secure, and cost-efficient data pipelines is a plus Familiarity with streaming architectures (Kafka) is a plus Experience in MLOps and model deployment using MLflow in Databricks is a plus Ability to collaborate with data scientists, analysts, and business teams to understand data needs Strong problem-solving skills, with the ability to troubleshoot performance bottlenecks and optimize workloads Excellent communication skills to explain technical concepts to non-technical stakeholders Benefits Benefits Full-remote working International working environment Modern technologies and challenging projects Opportunity to work with experienced professionals Long-term career opportunities Originally posted on Himalayas