Data Engineer

Position: Data Engineer
Experience: 3–4 Years
Employment Type: Full-Time
Location: Remote (USA)

We are seeking a skilled Data Engineer with 3–4 years of experience to join our growing team. The ideal candidate should have hands-on experience building scalable data pipelines, developing ETL processes, and working with cloud-based data platforms. You will collaborate with cross-functional teams to design, implement, and optimize data solutions that support business intelligence and analytics initiatives.

• Python
• SQL
• PySpark
• Snowflake
• AWS
• Apache Airflow

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data workflows for processing large datasets.
• Develop and maintain data models and data warehouse solutions.
• Work with cloud technologies to ingest, transform, and store data efficiently.
• Optimize SQL queries and improve overall pipeline performance.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver high-quality data solutions.
• Monitor, troubleshoot, and enhance production data pipelines.
• Follow best practices for data quality, security, and governance.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3–4 years of professional experience as a Data Engineer.
• Strong proficiency in Python and SQL.
• Hands-on experience with PySpark, Snowflake, AWS, and Apache Airflow.
• Strong understanding of data warehousing, ETL processes, and data modeling.
• Excellent analytical, troubleshooting, and communication skills.

If you're passionate about building modern data solutions and enjoy working in a collaborative environment, we'd love to hear from you.

Apply Now: Share your updated resume along with your contact details.