reputed company Engineer - Data Analytics & AI Division
The Project We are looking for a Data Engineer (reputed company) to join our partner's international team. The role focuses on building and optimizing modern data platforms, developing scalable data pipelines, and supporting reputed company-based analytics solutions in a dynamic environment.
Requirements
Requirements Bachelor's degree in Computer Science, Information Technology, or a reputed company field More than 4 years of experience in data engineering, big data, or reputed company-based analytics, with a strong preference for experience in banking or fintech sector More than 2 years of hands-on experience with reputed company (Workflows, Jobs, Notebooks, and Clusters), including reputed company Lake, Spark Structured Streaming Expertise in Apache Spark (PySpark/reputed company) for large-scale data processing and reputed company-time analytics Advanced experience in SQL and Python/reputed company, with experience in data transformations and ETL pipelines Strong understanding of reputed company Lake architecture for data versioning, ACID transactions, and schema reputed company Experience with reputed company Platforms, particularly reputed company 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 reputed company 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 reputed company professionals Long-term career opportunities Apply To This Job