Databricks Data Engineer - 1 year contract - Hybrid

ContractStaffingRecruiters.com; Farmington (CT); On-site; USD 80,000 - 110,000; Full time

Job summary

ContractStaffingRecruiters.com is seeking a proficient candidate to design and develop ETL Processes that will transform various data formats into SQL Databases. The role requires Databricks expertise and leadership experience within a dynamic team environment in Farmington, Connecticut.

The ideal candidate will manage multiple projects, maintain project documentation, and possess strong interpersonal skills. Familiarity with cloud technologies, particularly Azure SQL server, is a plus.

Qualifications

• Experience with Databricks is essential.
• Leadership and fast team adaptation skills required.
• Proficiency in programming languages and frameworks.

Responsibilities

• Design and develop ETL Processes for data transformation.
• Understand and migrate legacy systems to data marts/lakes.
• Maintain comprehensive project documentation.
• Work effectively in a team environment.

Skills

Databricks experience

Leadership

Python

SQL

PLSQL

VB

Oracle

SQL Server

MySQL

Big data concepts

Job description

Responsibilities

• Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases.
• Understand the concept of Data marts and Data lakes and have experience with migrating legacy systems to data marts/lake.
• Use additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server).
• Maintain comprehensive project documentation.
• Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement.
• Strong interpersonal and communication skills to be able to work in a team environment with customer and contractor technical, end users, and management team members.
• Manage multiple projects, responsibilities, and competing priorities.

Qualifications

• Databricks experience is a must.
• Leadership experience and ability to work on a fast‑moving team.
• Programming languages, frameworks, and file formats such as Python, SQL, PLSQL, and VB.
• Database platforms such as Oracle, SQL Server, MySQL.
• Big data concepts and technologies such as Synapse & Databricks.