Data Engineer / ETL Engineer

DESCRIPTION

abra professional services is seeking for an Data Engineer.

Key Responsibilities:

Design, implement, maintain, and optimize ETL processes using Informatica.
Build efficient data pipelines for data ingestion, cleansing, and transformation across multiple data sources.
Work with various analytical databases.
Collaborate closely with BI, Analytics, and Product teams to create decision-support data layers.
Lead the process of onboarding and integrating data sources into relevant AI systems.
Provide ongoing support for existing data infrastructures while participating in the implementation of new solutions.
Ensure compliance with data quality standards, information security policies, and regulatory requirements.

Please note: This role requires a Data Engineer background.

REQUIREMENTS

must have:

Academic degree holder with a Bachelor’s degree in Computer Science, or a certified Practical Engineer (Technician) graduate in Computer Studies,
or completion of Information Systems courses totaling at least 300 hours,
or at least 5 years of general experience in the computing/IT field.
At least 8 years of relevant experience in the BI (Business Intelligence) domain.

At least 5 years of experience out of the last 7 years in the following areas:

Serving in a Data Engineer role.
Establishment and development of Data Lake and DWH (Data Warehouse) environments.
Data modeling.
Design and implementation of DWH and Data Lake architectures.
AI solution architecture.
Design and implementation of data pipelines.
Python development.
Working with BI systems.
Working with DWH-supported data models.
Very high-level proficiency in SQL.
Design and implementation of ETL processes using Informatica or equivalent ETL tools.

Additional Requirements – Advantages:

Relevant academic degree in Information Systems, Computer Science, Engineering, or a related field – an advantage.
Experience working with various analytical databases – an advantage.
Experience with AI systems – an advantage.
Familiarity with Data Governance and Data Quality processes.
Proven knowledge and experience with Python.
Previous experience working with Tableau in a production environment.