Senior Databricks Data Engineer

Company Description

Squash Apps is a top-rated full-stack consulting company dedicated to building the next generation of scalable and robust web applications for visionary clients. We specialize in modern technologies, including MEAN, MERN, MEVN stack, Java stack, SQL / NoSQL, Elastic Search, Redis, and hybrid mobile applications. With innovative projects showcased on our website, Squash Apps is passionate about creating top-quality apps. We are committed to delivering excellence and invite like-minded individuals to join our dynamic team.

We’re looking for a Senior Databricks Data Engineer to lead large-scale data

pipeline development on the Databricks Lakehouse Platform . If you’re strong in

Spark, cloud platforms, and modern data engineering practices—this role is for you.

🔧 Responsibilities

• Build & optimize ETL / ELT pipelines using Databricks (PySpark, SQL, Delta

Lake).

🎯 Required Skills

3+ years strong Databricks + PySpark.

Databricks Data Engineer (4–6 Years Experience)

We’re looking for a Databricks Data Engineer who can design and develop

scalable data pipelines on the Databricks Lakehouse Platform . Ideal for someone

strong in PySpark, SQL, and cloud data engineering.

🔧 Responsibilities

layers.

🎯 Required Skills

Notebooks .