About Droisys: Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We’re hiring Data Engineer in Las Vegas, NV , Here’s the job details for reference, Job Summary: We are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions using the Snowflake cloud data platform. The ideal candidate will have hands-on experience in Snowflake development, strong SQL skills, and the ability to integrate and manage data pipelines to support business intelligence, analytics, and data science teams. Key Responsibilities: • Design and implement scalable data pipelines using Snowflake, including data ingestion, transformation (ELT), and data modeling. • Develop and optimize Snowflake stored procedures, views, UDFs, and Snowpipe for real-time/near-real-time data processing. • Integrate data from various sources (e.g., APIs, cloud storage, relational databases) into Snowflake using tools like Apache Airflow, dbt, Informatica, Fivetran, or Talend. • Create and maintain data models (star/snowflake schemas) that support efficient querying and reporting. • Monitor and tune performance of Snowflake queries and workloads to ensure optimal performance. • Ensure data governance, quality, and security by applying appropriate data access controls, auditing, and compliance practices. • Collaborate with data analysts, data scientists, and business stakeholders to gather requirements and deliver reliable data solutions. • Participate in code reviews, documentation, and continuous improvement of the data engineering processes. • Support migration of legacy data warehouses to Snowflake from platforms like Redshift, Teradata, or SQL Server. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. • 3–6 years of experience in data engineering, with 2+ years of hands-on Snowflake development. • Strong SQL expertise and experience with performance tuning and optimization. • Proficient in data pipeline and orchestration tools such as Airflow, dbt, or Matillion. • Experience with cloud platforms (AWS, Azure, or GCP) and related services (e.g., S3, Azure Data Lake). • Knowledge of data governance, metadata management, and security best practices. • Familiarity with DevOps, CI/CD for data projects, and version control tools Droisys is an equal opportunity employer that values diversity, inclusion, and belonging. We are committed to fostering a diverse work environment and do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.