Python Data Engineer - Big Data & DWH Projects

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

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