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