Snowflake Data Engineering Lead: ETL, DBT & Python

TechDigital Group; Frisco (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Technical Lead to oversee and guide technical projects in data management. This role involves leading initiatives utilizing Snowflake, DBT, SQL, and Python, providing mentorship to team members, and ensuring successful project implementation. The ideal candidate will thrive in a fast-paced environment and possess strong problem-solving and communication skills. Join a forward-thinking team where your expertise will drive impactful solutions and foster growth within the organization. If you are passionate about technology and leadership, this opportunity is perfect for you.

Qualifications

• Proficiency in Snowflake and Python for data management and ETL.
• Experience with DBT for data transformation is highly valued.

Responsibilities

• Lead technical projects from conception to completion using Snowflake and Python.
• Provide guidance and mentorship to team members while troubleshooting issues.

Skills

Snowflake

DBT

SQL

Python

Problem-solving

Communication

Leadership

Education

Relevant certifications in Snowflake, DBT, SQL, or Python

Job description

Mandatory Skills: SQL proficiency is required. Python and Tableau are beneficial.

Data Engg (Strong SQL, Python, Tableau, Power BI)
As a Business Intelligence Developer on the DCData team, you will be a key player in transforming raw data into actionable insights that inform critical business decisions for our data center operations. You will design, develop, and maintain BI solutions that provide clear and reliable data to leadership and stakeholders.

Responsibilities:

• Design, develop, and maintain end-to-end business intelligence solutions, including data models, pipelines, and interactive dashboards.

• Partner with cross-functional teams, including engineers, product managers, and operations leaders, to understand business needs and translate them into technical requirements.

• Write and optimize complex SQL queries to extract, transform, and load (ETL) data from various data sources into our data warehouse.

• Develop and automate key performance indicator (KPI) frameworks and reports that track the performance and efficiency of data center operations.

• Create intuitive and compelling data visualizations using BI tools like Looker, Tableau, or Power BI to help stakeholders quickly grasp complex data trends.

• Ensure the integrity, accuracy, and security of data, and proactively troubleshoot any data-related issues.

• Proactively identify opportunities to improve data collection, reporting processes, and overall data infrastructure.