Senior Data Engineer - Databricks, Snowflake, SQL, ETL, Spark, Data Warehouse

Role Overview

Primary Responsibilities

• Develop, test, and performance-tune complex ETL, automation, and AI solutions.
• Maintain cloud infrastructure and resolve operational issues.
• Schedule deployed pipelines in Airflow using proper job dependencies.
• Promote applications from non-production environments to staging and production for go-live.
• Build and maintain GitOps pipelines and automation using GitHub Actions, Jenkins, and related tools.
• Provide production support and maintain efficient data flows into warehouses or storage systems.
• Apply modern development methodologies to deploy and maintain high-value solutions.
• Communicate with technical and non-technical stakeholders and collaborate across functions.

Required Qualifications

• Bachelor's degree in computer science, information technology, engineering, MCA, or an equivalent qualification.
• At least 3 years of total experience and 3 years of ETL development experience.
• At least 3 years of experience in a data warehouse or BI environment.
• Experience with data integration, data warehousing, cloud environments, and job schedulers such as Airflow.