Data Engineer (ETL, Python, ML Algorithms)

About the role

Infosys Consulting is looking for a highly skilled data engineer with 2-5 years of experience in data processing using ETL tools such as Informatica, Python or similar. The successful candidate will design and develop ML-based algorithms in Python and have good knowledge of CI-CD with DevOps. The role suits someone who wants to grow their skills in a fast-paced environment.

Key responsibilities

• Design and develop ETL workflows that move data from various sources into the organization's data warehouse.
• Develop and implement data quality controls and monitor data accuracy.
• Design and develop ML-based algorithms in Python to automate and optimize data processing.
• Work closely with cross-functional teams so that data solutions meet business requirements.
• Develop and maintain data processing and automation scripts in Python.
• Create data visualizations and provide insights to the data analytics team.
• Design and implement data security and access controls.
• Develop and maintain data pipelines and ETL workflows for various data sources.

Required profile

• Bachelor's degree in computer science, information systems or a related field.
• 2-5 years of experience in data processing and ETL using SQL, Informatica, AWS Glue, Airflow, Python or similar tools.
• Experience with CI-CD and DevOps.
• Experience designing and developing ML-based algorithms in Python.
• Strong knowledge of data analytics patterns and data processing techniques.
• Good communication and interpersonal skills, excellent problem-solving skills, and the ability to work independently or in a team.
• Knowledge of data security and access control.
• Only Singaporean citizens and Singapore PRs can apply.