Collaborate with cross-functional teams to identify and deliver innovative solutions to complex data challenges

Implement machine learning models and algorithms to support business objectives

Optimize and fine-tune data models and algorithms to improve performance and accuracy

Ensure data quality and accuracy through data profiling, data cleansing, and data validation

Stay up-to-date with emerging trends and technologies in data engineering and data science

Provide technical guidance and mentorship to junior team members

Participate in code reviews and contribute to the development of best practices and standards

Bachelor's Degree or Master's Degree in Computer Science or similar

Minimum of 3 years of experience in Data Software Engineering

Expertise in Amazon Web Services (AWS) and Python programming

Strong experience with Snowflake and ETL/ELT solutions

Proven experience in machine learning engineering and regression analysis

Strong analytical and problem-solving skills with the ability to work independently and in a team environment

Excellent communication skills in English (Upper-Intermediate level)

Experience with distributed computing frameworks such as Apache Spark or Hadoop

Familiarity with data visualization tools such as Tableau or Power BI

Experience with containerization technologies such as Docker or Kubernetes