Data Engineer (Junior to Senior)

Join our team as a Data Engineer responsible for building and maintaining scalable ETL/ELT pipelines, integrating data from multiple sources, and optimizing data warehouses, lakes, and lakehouse solutions. You will work closely with cross-functional teams to deliver reliable, high-quality data solutions while ensuring compliance with security and governance standards.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.
• Integrate and process data from databases, APIs, applications, files, and enterprise systems.
• Build and optimize data models, data warehouses, data lakes, and lakehouse architectures.
• Develop data processing solutions using SQL, Python, and other programming languages.
• Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.
• Implement data quality, validation, and governance controls.
• Collaborate with cross-functional teams to deliver business-driven data solutions.
• Maintain technical documentation and ensure compliance with security, privacy, and governance standards.

Requirements:

• 3+ years of Data Engineering, ETL/ELT, or Data Warehousing experience
• Strong SQL and data modeling skills
• Experience with Python, Java, Scala, or similar languages
• Knowledge of AWS, Azure, or GCP
• Experience with databases such as SQL Server, PostgreSQL, Oracle, or MySQL
• Strong analytical, troubleshooting, and collaboration skills