Data Engineer

About You

You are a Data Engineer passionate about building reliable, scalable, and high-performing data solutions that power analytics, reporting, and AI-driven initiatives. You enjoy solving complex data challenges, transforming fragmented information into trusted datasets, and enabling organizations to make data-driven decisions.

You thrive in collaborative environments, working closely with technical teams and stakeholders to design, migrate, integrate, and optimize data across multiple platforms and technologies. You bring a strong analytical mindset, attention to detail, and a commitment to data quality, consistency, and long-term scalability.

Note: This position is offered under a contractor model for a period of 3 months.

Responsibilities

Design and execute data migration processes across multiple data sources and platforms.; Build, maintain, and optimize ETL/ELT pipelines.; Transform, cleanse, and standardize data from multiple systems.; Ensure data quality, consistency, integrity, and reliability across environments.; Integrate data with analytical platforms and AI-driven components.; Support the design and implementation of scalable data models.; Collaborate with technical teams to support data modernization initiatives.; Identify opportunities to improve data reliability, scalability, and operational efficiency.; Contribute to establishing data governance and best practices.; Support business intelligence and analytics initiatives through high-quality datasets.

Requirements

Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience.; 3+ years of experience as a Data Engineer or in a similar role.; Advanced SQL expertise.; Strong experience designing and implementing ETL/ELT processes.; Experience with data modeling and data transformation.; Experience integrating and migrating data between different database engines and platforms.; Experience building and maintaining scalable data pipelines.; Experience working with analytical platforms and large datasets.; Proficiency in Python or a similar language for automation and data processing.; Strong understanding of data quality, governance, consistency, and integrity principles.; Strong analytical and problem-solving skills.; Ability to work independently while collaborating effectively with cross-functional teams.; Advanced English communication skills.; 3+ years of experience as a Data Engineer.; Advanced SQL skills.; Experience with ETL/ELT, Data Modeling, and Data Pipelines.; Experience with Data Migration and Data Integration.; Python proficiency; Advanced English.