Data Engineer

Conch Technologies Inc; Coppell (TX); On-site; USD 96,000 - 165,000; Full time

Job summary

Conch Technologies, Inc. in Coppell, TX, is seeking an experienced Data Engineer for a 6-month, 100% onsite contract.

You will design and build scalable data pipelines using Databricks, SQL and Python, applying the Medallion Architecture (Bronze, Silver and Gold) to organize data efficiently. Responsibilities include developing pipelines, implementing data layers, optimizing performance, ensuring data quality and collaborating with architects, analysts and business teams.

Qualifications

• Strong hands-on experience with Databricks.
• Strong SQL skills.
• Strong Python programming experience.
• Experience implementing Medallion Architecture Bronze, Silver, and Gold.
• Experience developing and optimizing data pipelines and ETL/ELT processes.

Responsibilities

• Develop and maintain scalable data pipelines using Databricks.
• Implement Bronze, Silver, and Gold data layers.
• Develop data transformations using Python and SQL.
• Optimize data processing and pipeline performance.
• Ensure data quality, reliability, and availability.
• Collaborate with data architects, analysts, and business teams.

Skills

Databricks

SQL

Python

Medallion Architecture

Tools

Databricks

Python

Job description

Position: Data Engineer
Location: Coppell, TX 100% Onsite
Duration: 6 Months contract on W2
Interview: Video

Job Description:
We are seeking an experienced Data Engineer with strong hands-on expertise in Databricks, SQL, and Python. The ideal candidate will have experience designing and developing scalable data pipelines using Medallion Architecture (Bronze, Silver, and Gold layers).

Must-Haves:

• Strong hands-on experience with Databricks
• Strong SQL skills
• Strong Python programming experience
• Experience implementing Medallion Architecture Bronze, Silver, and Gold
• Experience developing and optimizing data pipelines and ETL/ELT processes

Responsibilities:

• Develop and maintain scalable data pipelines using Databricks.
• Implement Bronze, Silver, and Gold data layers.
• Develop data transformations using Python and SQL.
• Optimize data processing and pipeline performance.
• Ensure data quality, reliability, and availability.
• Collaborate with data architects, analysts, and business teams.

With Regards,

Prem Chand Kolli | US IT Recruiter

[e-mail] |[phone] *825

Conch Technologies, Inc | www.conchtech.com