PURPOSE:
This position is responsible for expanding and optimizing the organisation’s data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
PRIMARY RESPONSIBILITIES:
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our products
Work with data and analytics experts to strive for greater functionality in our data systems.
QUALIFICATIONS:
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL including Oracle and NoSQL databases
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with Azure cloud services: Azure Data Factory, Azure Databricks
Experience with stream-processing systems: Storm, Spark-Streaming, Azure Streaming etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
PERSON SPECIFICATIONS
Academic Qualifications
Bachelor’s degree in Information Technology, Information Systems, Informatics, Computer Science or Engineering from a recognized institution.
Experience
At least 3 years of relevant experience
Skills and Attributes
Strong strategic and analytical thinking skills;
Good communication and interpersonal skills;
Excellent leadership and people management skills;
Good customer and negotiation skills;
Good decision making and problem solving skills;
Abreast with existing and emerging information and communications technologies;
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