Apt Resources is hiring a Python Data Engineer for our client in the banking sector.
This role focuses on Big Data architectures and data warehousing, with hands-on involvement in tools like Tableau, Teradata, NIFI, and IBM DataStage.
Key Responsibilities:
- Design scalable Big Data and DWH architectures.
- Develop KPIs and dashboards to analyze market trends.
- Work with Tableau for data visualization and reporting.
- Perform data migration using NIFI and ETL with IBM DataStage.
- Collaborate with teams and vendors on data-driven initiatives.
- Maintain data privacy, security, and regulatory compliance.
Requirements
- 3 to 4 years of experience in data engineering or related roles.
- Bachelor's degree in Engineering or a related field.
- Certifications in Big Data or Data Science are preferred.
- Proficiency in SQL, Python, PySpark, and Shell scripting (Bash).
- Experience with data visualization tools like Tableau.
- Familiarity with ETL tools such as IBM DataStage and data pipelines using NIFI.
- Knowledge of REST, JSON, SOAP, and Web Services APIs.
- Strong analytical, communication, and project leadership skills.
- Experience in telecom data (2G/3G) is an advantage.
Benefits
Salary: USD 2,000 - 2,500 per month