Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support data-driven decision-making. The Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for various analytical needs.

Key Responsibilities:

Develop and maintain scalable data pipelines using various technologies.
Design and implement data models and database schemas.
Ensure data quality and integrity through monitoring and validation.
Collaborate with data scientists and analysts to understand data requirements.
Optimize data infrastructure for performance and efficiency.
Implement data security and governance policies.

Requirements/Qualifications:

Proven experience in data engineering and data warehousing.
Strong proficiency in SQL and relational databases.
Experience with data pipeline tools and technologies (e.g., ETL, Spark, Kafka).
Knowledge of cloud platforms (e.g., AWS, Azure, GCP).
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.
Experience with data modeling and data architecture.

About the Company:

Teksills is a technology services company focused on providing innovative solutions to businesses across various sectors. They specialize in helping organizations leverage data and technology to achieve their strategic goals.