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