Data Engineer - ETL & Python (CAN START ASAP)

Rising Tide Digital, Inc.; Philippines; On-site; PHP 500,000 - 900,000; Full time

Job summary

Rising Tide Digital, Inc. is seeking a data-focused professional to analyze complex datasets and build robust ETL pipelines using Oracle Data Integrator. The role involves creating dashboards with Oracle Analytics Cloud and documenting data models and processes for cross-functional use.

The ideal candidate will translate business requirements into technical specifications, collaborate with stakeholders, and optimize data workflows for accuracy and performance.

Qualifications

• Experience with Python libraries Pandas and NumPy for data analysis and manipulation.
• Design and develop data integration workflows using ODI to extract, transform, and load data from various sources.
• Create and maintain analytical dashboards and reports using Oracle Analytics Cloud to provide actionable business insights.
• Develop and maintain comprehensive documentation of data models, ETL processes, and analytical solutions.

Responsibilities

• Analyze complex datasets to identify trends, patterns, and anomalies, translating findings into clear recommendations for stakeholders.
• Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
• Optimize data processes and queries to improve performance and ensure data accuracy and integrity.

Skills

Python Pandas

NumPy

ETL

ODI (Oracle Data Integrator)

Oracle Analytics Cloud (OAC)

Data analysis

Documentation

Tools

Oracle ODI

Oracle Analytics Cloud

Job description

Key responsibilities

• Experience with Pythonlibraries such asPandasandNumPyfor data analysis and manipulation.

• Design and develop data integration workflows using Oracle Data Integrator (ODI) to extract, transform, and load (ETL) data from various sources

• Create and maintain analytical dashboards and reports using Oracle Analytics Cloud (OAC) to provide actionable business insights

• Develop and maintain comprehensive documentation of data models, ETL processes, and analytical solutions

• Analyze complex datasets to identify trends, patterns, and anomalies, translating findings into clear recommendations for stakeholders

• Collaborate with business stakeholders to understand data requirements and translate them into technical specifications

• Optimize data processes and queries to improve performance and ensure data accuracy and integrity