Our client is a highly successful NPO. The work you will be involved with is highly impactful and am sure will bring joy as well as provide a highly stimulating and fabulous work experience.
What you will be doing:
Collaborate with stakeholders to design implement and maintain data solutions aligning with strategic vision.
Build and maintain scalable infrastructure for realtime and batch data processing.
Select and integrate big data tools ensuring efficient data storage transformation and analysis.
Provide guidance and support on data usage security and architecture.
Monitor performance optimize data ingestion and recommend infrastructure adjustments.
Partner with data analysts and business intelligence to ensure data quality and accuracy.
What our client is looking for:
A relevant Bachelors degree would be ideal.
8 years of experience as a Data Engineer designing building and maintaining data pipelines.
Proficiency in SQL and with a variety of database systems (e.g. MySQL).
Strong knowledge of ETL / data processing frameworks and technologies such as Apache Beam Apache Spark and SSIS for both batch and realtime processing.
Expertise in data modelling techniques and methodologies.
Experience with cloud platforms such as Google Cloud Platform (GCP) Azure or AWS.
Proficiency in Python and other relevant programming languages.
Familiarity with statistical analysis / data visualisation tools and techniques such as R or Python libraries.
Analytical / problemsolving skills with the ability to identify and resolve datarelated issues.
Strong communication and interpersonal skills with the ability to collaborate effectively with crossfunctional teams including data scientists software engineers and business stakeholders.
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