Data Engineer

As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle—from data ingestion and transformation to pipeline orchestration, data modeling, and performance optimization.

This role offers a hands-on learning environment where you'll work on real-world business challenges, gain exposure to cloud-based data platforms, and develop expertise in modern data engineering technologies including Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems.

• Work with senior data engineers and architects to build, optimize, and maintain scalable data pipelines and workflows.

• Develop ETL/ELT processes using Databricks, Spark, Python, and SQL.

• Design and implement data ingestion frameworks for structured and unstructured data sources.

• Build and maintain data models, data marts, and analytical datasets in Snowflake.

• Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.

• Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver solutions.

• Participate in architecture discussions, proof-of-concepts, and process improvement initiatives.