Cloud Data Engineer — Snowflake, Databricks & AWS

Genesis Tech Solutions; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Genesis Tech Solutions is seeking a data engineer to support client engagements and translate business needs into technical tasks. You will develop data solutions on Snowflake and Databricks, build batch data pipelines, and assist with analytics and reporting.

The role emphasizes collaboration, adherence to best practices, and continuous learning in a consulting-driven environment. A strong foundation in SQL, ETL/ELT, and cloud exposure is required.

Qualifications

• Bachelors degree in Data Analytics, Business Analytics, Information Systems, CS, Stats, Mathematics, Economics, or related field.
• 3-5 years of experience in data engineering, analytics, or related technical roles.
• Foundational experience with SQL and basic data modeling concepts.
• Experience with ETL/ELT processes and data integration.
• Exposure to cloud platforms AWS, Azure, or GCP.
• Familiarity with Snowflake and Databricks is a plus.
• Exposure to Python or Scala is preferred.
• Understanding of modern data architectures (data lakes/warehouses).
• Experience with data visualization tools (Power BI, Tableau) is a plus.
• Strong analytical and problem-solving skills.

Responsibilities

• Support client engagements as a contributing project team member.
• Assist in gathering and understanding business and technical requirements.
• Translate requirements into technical tasks under guidance from senior team members.
• Support preparation of presentations, documentation, and deliverables.
• Develop and support data solutions leveraging Snowflake, Databricks, AWS, Azure.
• Build and maintain data pipelines (primarily batch, with exposure to near real-time).
• ETL/ELT development and data integration processes.
• Contribute to data platforms including data lakes and data warehouses.
• Follow best practices for coding, testing, and performance optimization.
• Support senior team members in troubleshooting and resolving data issues.
• Participate in code reviews, testing, and QA activities.
• Manage assigned tasks and deliver within project timelines with minimal oversight.
• Assist with analytics and reporting by preparing curated datasets.
• Support advanced analytics initiatives such as machine learning data preparation.
• Stay current with tools, technologies, and best practices via continuous learning.
• Support data governance, data quality, and documentation efforts.
• Follow data security and compliance standards.
• Contribute to maintaining metadata, lineage, and technical documentation.

Skills

SQL

ETL/ELT

Python/Scala

Data modeling

Cloud platforms

Data lakes/warehouses

Data governance

Analytical thinking

Education

Bachelor's degree in related field

Tools

Snowflake

Databricks

Power BI

Tableau

Job description

Genesis Tech Solutions is seeking a data engineer to support client engagements and translate business needs into technical tasks. You will develop data solutions on Snowflake and Databricks, build batch data pipelines, and assist with analytics and reporting.

The role emphasizes collaboration, adherence to best practices, and continuous learning in a consulting-driven environment. A strong foundation in SQL, ETL/ELT, and cloud exposure is required.