Job Summary

We are looking for a hands-on Lead Data Engineer with strong expertise in Databricks and proven experience in the retail domain. The ideal candidate should be a player-coach who can lead a team while actively contributing to design, development, and optimization of scalable data pipelines, along with strong communication skills to interact with stakeholders and business teams.

Key Responsibilities

Design and build scalable data pipelines using PySpark and SQL on Databricks
Work with large-scale retail data (transactions, customer, product, inventory)
Implement data models using Lakehouse architecture
Lead a team of engineers while remaining hands-on in coding.
Collaborate with cross-functional teams and clearly communicate technical solutions to non-technical stakeholders
Optimize performance of ETL/ELT pipelines
Ensure data quality, governance, and best practices

Required Skills

Strong hands-on experience with Databricks (must-have)
Expertise in PySpark, Spark SQL
Strong coding skills in Python and SQL
Experience with Delta Lake / Lakehouse architecture
Proven experience in building scalable data pipelines
Excellent communication and stakeholder management skills
Ability to translate business requirements into technical solutions

Location Requirement

Candidates must be local to Dallas, TX or nearby. No relocation.

Codinix Technologies Inc.

Open Positions (1)

Engineering

Lead Data Engineer with Databricks