Data Engineer with Databricks

We are seeking an experienced Senior Databricks / Data Engineer with strong expertise in Apache Spark, cloud data platforms, and modern data engineering practices. The ideal candidate will have extensive hands-on experience designing, developing, and optimizing scalable data solutions.Key Responsibilities & Qualifications12–15 years of experience.Databricks & Apache Spark: 8+ years of hands-on experience with Databricks and Apache Spark, including PySpark, Scala, and/or SQL.Programming: 5+ years of professional experience with at least one programming language such as Python, Scala, or Java.Cloud Data Architecture: 5+ years of experience working with cloud-based data platforms and architectures, including Azure Data Lake, AWS S3, GCP Storage, and related cloud data services.CI/CD & DevOps: 5+ years of experience implementing CI/CD pipelines and DevOps practices within data engineering environments.Data Warehousing: 5+ years of experience with data warehousing concepts and technologies, including Delta Lake, SQL, and related data storage and processing frameworks.Distributed Computing & Performance: 5+ years of experience with distributed computing, big data processing, performance tuning, optimization, and data engineering best practices.Communication & Problem Solving: 5+ years of experience demonstrating strong communication, analytical, troubleshooting, and problem-solving skills, with the ability to collaborate effectively across technical and business teams