Data Engineer Team Lead - ETL, Analytics & Dashboards

Quantum Technologies. LLC; Missouri; On-site; USD 80,000 - 100,000; Full time

Job summary

Quantum Technologies LLC is seeking a candidate with 5-8 years of experience, including 1-3 years of expertise in Python and SQL. The role involves performing deep-dive data analysis, designing automated ETL pipelines on GCP, and developing dashboards to aid in data-driven decision-making.

The ideal candidate will possess strong problem-solving skills, the ability to work in fast-paced settings, and excellent communication skills. The position emphasizes collaboration with stakeholders to translate business questions into analytical solutions.

Qualifications

• 5-8 years of overall experience with 1-3 years in Python and SQL.
• Ability to thrive in a fast-paced, high-impact environment.
• Strong stakeholder management skills.

Responsibilities

• Perform deep-dive data analysis using SQL, Python, and R.
• Design and maintain automated ETL pipelines on GCP.
• Develop and deploy real-time dashboards using BI tools.
• Identify and implement workflow optimization opportunities.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Proficiency in SQL

Intermediate experience with Python

Hands-on experience with GCP services

Experience building automated ETL pipelines

Familiarity with dashboarding tools

Strong problem-solving skills

Excellent communication

Education

GCP certification (e.g., Professional Data Engineer)

Tools

Looker

Tableau

Dataflow

BigQuery

Job description

Quantum Technologies LLC is seeking a candidate with 5-8 years of experience, including 1-3 years of expertise in Python and SQL. The role involves performing deep-dive data analysis, designing automated ETL pipelines on GCP, and developing dashboards to aid in data-driven decision-making.

The ideal candidate will possess strong problem-solving skills, the ability to work in fast-paced settings, and excellent communication skills. The position emphasizes collaboration with stakeholders to translate business questions into analytical solutions.