Job Summary
We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have strong expertise in BI architecture and ETL tools, as well as proficiency in Azure Synapse Analytics and Power BI.
This is an exciting opportunity for someone who enjoys working with data and wants to make a meaningful impact on the organization.
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Key Responsibilities
The Data Engineer will be responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights and make data-driven decisions.
* Data Pipeline Development: Develop data pipelines and flows using Azure Synapse Analytics, Talend, and Apache Airflow.
* Data Foundation Repository: Build and maintain the Data Foundation repository (clients, portfolios, positions, transactions).
* Data Model Migration: Migrate data models and ETL workflows to Microsoft Fabric, ensuring business continuity.
* Heterogeneous Data Integration: Integrate heterogeneous data sources (APIs, file systems, web scraping).
* Data Quality and Observability: Ensure data quality and observability with tools like Great Expectations, ELK, and Splunk.
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Requirements
We're looking for a highly skilled Data Engineer with:
* A Master's degree in Computer Science, Data Science, or Information Systems.
* Minimum 5 years of experience in data engineering or related fields.
* Strong expertise in BI architecture and ETL tools (e.g., Talend).
* Proficiency in Azure Synapse Analytics, Azure Cloud, and Power BI.
* Solid knowledge of SQL and relational databases (MS SQL, PostgreSQL).
* Programming skills in Python and Java.
* Experience with Apache Airflow, data observability tools (ELK, Splunk), and data quality frameworks (Great Expectations).
* Ability to communicate effectively with both technical and non-technical stakeholders.
* Fluency in English.
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What You'll Love About This Role
This is a fantastic opportunity for someone who wants to work with cutting-edge technology and make a real impact on the organization.
You'll have the chance to work on complex data engineering projects, collaborate with talented professionals, and develop your skills in a supportive environment.
We offer access to one of the best digital learning packages in the market to improve both your soft and hard skills.
Encouraging you to be curious and accountable for your skills development, our learning offers are world-class and free to every employee across the globe.