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

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

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