EXL Hiring Data Engineer (Noida) | Databricks & Snowflake

Role Overview

As a Databricks and Snowflake Data Engineer, you will work alongside experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will handle the full data engineering lifecycle, from data ingestion and transformation to pipeline orchestration, data modeling, and performance tuning.

This role offers a hands-on learning environment where you will work on real business challenges, gain exposure to cloud-based data platforms, and build skills in modern data engineering technologies such as Databricks, Snowflake, Spark, Python, SQL, and cloud ecosystems.

Key Responsibilities

• 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.
• Take part in architecture discussions, proofs of concept, and process improvement initiatives.
• Document data flows, technical designs, and implementation details to support operational excellence and knowledge sharing.
• Ensure adherence to data quality, security, and governance standards across data platforms.