Develop and optimize data pipelines to ensure smooth data processing and transformation

Create scalable data architectures to meet the needs of analytics and reporting teams

Work closely with stakeholders to gather requirements and deliver tailored technical solutions

Improve and oversee the performance and reliability of data workflows

Manage structured and unstructured data for seamless integration across diverse systems

Monitor and resolve issues within data systems to ensure accuracy and consistency

Apply data security protocols to protect sensitive information and ensure regulatory compliance

Conduct reviews of code to maintain high standards and ensure quality deliverables

Research and adopt emerging technologies to advance data engineering processes and solutions

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

At least 3 years of hands-on experience in data engineering with a focus on scalable solutions

Expertise in Python for scripting, automation, and data manipulation tasks

Experience utilizing Amazon Web Services (AWS) for building and managing data systems in the cloud

Proficiency in Snowflake for data warehousing and supporting advanced analytics

Strong SQL skills for querying, transforming, and analyzing data in relational databases

Familiarity with NoSQL databases for handling semi-structured and unstructured data effectively

Experience implementing CI/CD pipelines to automate data workflows and deployment processes

In-depth understanding of SDLC methodologies and their application in data projects

Practical experience working in Agile environments to deliver iterative and collaborative solutions

English proficiency (written and spoken) at a B2 level or higher

Experience with tools or frameworks for data visualization to enhance reporting capabilities

Familiarity with machine learning or AI technologies to improve data-driven decision-making