Data Analyst & Engineer: SQL, Snowflake & AWS

TekCommands; Missouri; On-site; USD 90,000 - 125,000; Full time

Job summary

TekCommands, Inc. is seeking a Data Engineer to collaborate with business stakeholders, design and optimize ETL/ELT pipelines, and build scalable data solutions. The role focuses on SQL-based data analysis, data modeling, and data warehousing using Snowflake and AWS.

Ideal candidates will have hands-on Snowflake experience, strong Python skills for automation, and a solid understanding of data engineering concepts. Excellent communication and stakeholder collaboration are essential.

Qualifications

• Strong proficiency in SQL for data analysis.
• Hands-on experience with Snowflake.
• Experience using Python for data analysis and automation.
• Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data warehousing).
• Working knowledge of AWS services, particularly S3.
• Strong analytical and problem-solving skills.
• Experience in requirement gathering and stakeholder collaboration.
• Excellent verbal and written communication skills.

Responsibilities

• Collaborate with business stakeholders to gather and understand data requirements.
• Apply Data Engineering concepts including ETL/ELT, data modeling, and data warehousing.
• Communicate analytical findings and recommendations to technical and business teams.
• Analyze and interpret data to identify trends, insights, and business opportunities.
• Develop and optimize complex SQL queries for data extraction, validation, and analysis.
• Work with Snowflake to manage, transform, and analyze large datasets.
• Use Python for data analysis, automation, and data quality checks.
• Support data validation, troubleshooting, and root cause analysis.
• Work with AWS services such as S3, Glue, and Athena to support data solutions.

Skills

SQL

Python

Data Modeling

Data Warehousing

ETL/ELT

Stakeholder Collaboration

Communication

Tools

Snowflake

AWS S3

Job description

TekCommands, Inc. is seeking a Data Engineer to collaborate with business stakeholders, design and optimize ETL/ELT pipelines, and build scalable data solutions. The role focuses on SQL-based data analysis, data modeling, and data warehousing using Snowflake and AWS.

Ideal candidates will have hands-on Snowflake experience, strong Python skills for automation, and a solid understanding of data engineering concepts. Excellent communication and stakeholder collaboration are essential.