A tech consulting firm in Boston is seeking a Databricks AWS Developer for a contract role. This position requires hands-on experience with Python and Databricks frameworks to design and deliver scalable applications. The ideal candidate will collaborate effectively with product owners and optimize data pipelines in a Unix/Linux environment. This is an entry-level role focused on development and engineering in the IT services sector.
Qualifications
Proven hands-on development experience in Python.
Exposure to DevOps best practices and CICD.
Deep expertise in Python and Databricks framework-based applications.
Experience working in a multi-developer environment using version control.
Solid knowledge of Unix/Linux environments.
Responsibilities
Design, develop, and deliver scalable applications in the Databricks environment.
Translate concepts into prototypes and production-grade solutions.
Collaborate with product owners to align solutions with business objectives.
Optimize high-performance data pipelines and services.
Skills
Python
Databricks SQL/Scala
Big Data ecosystems (Pandas, Oracle PL/SQL, Apache Spark)
Unix/Linux
Version control (Git)
DevOps best practices
Job description
Overview
Databricks AWS Developer (W2)
Loc: Boston / Quincy / Burlington, MA – 4 Days onsite
Dur: 6-12 Month CTH
Key Responsibilities
Hands-on design, development, and delivery of scalable, framework-driven applications within the Databricks environment
Translate abstract concepts into rapid prototypes and evolve them into production-grade solutions
Collaborate closely with product owners and stakeholders to ensure technical solutions align with business objectives
Design, build, and optimize high-performance data pipelines and services using Python and SQL
Operate effectively in Unix/Linux environments, including scripting, system monitoring, and issue resolution
Qualifications
Proven hands-on development experience in Python, with a strong background in building Databricks framework-based applications
Exposure/understanding of DevOps best practice and CICD
Deep expertise in Python, Databricks SQL/Scala, along with practical experience in Big Data ecosystems such as Pandas, Oracle PL/SQL, and Apache Spark
Experience working in a multi-developer environment using version control (Git)
Solid working knowledge of Unix/Linux environments, including scripting, system monitoring, and troubleshooting
Demonstrated ability to rapidly prototype and deliver functional, testable solutions in dynamic environments
Track record of successfully navigating major technology transitions, adapting to evolving tools and frameworks, and contributing to modernization initiatives
Excellent communication with the ability to collaborate effectively across technical teams