Data Egnineer (Data Innovation)

Responsibilities:

• Analyze and organize raw data

• Build data systems and pipelines with Apache Airflow

• Evaluate business needs and objectives

• Interpret trends and patterns

• Conduct complex data analysis and report on results

• Prepare data for prescriptive and predictive modeling

• Build algorithms and prototypes

• Combine raw information from different sources

• Explore ways to enhance data quality and reliability

• Identify opportunities for data acquisition

• Develop analytical tools and programs

• Collaborate with data scientists and architects on several projects

Requirements and skills:

• Atleast 3 years in Data Engineer

• Previous experience as a data engineer or in a similar role

• Technical expertise with data models, data mining, and segmentation techniques

• Knowledge of programming languages (e.g. Java and Python)

• Hands-on experience with SQL database design

• Great numerical and analytical skills

• Degree in Computer Science, IT, or similar field; a Master’s is a plus

• Data engineering certification (e.g IBM Certified Data Engineer) is a plus