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This position reports to the Data Systems Director
Your responsibilities will include the following:
Designing, developing, testing, and maintaining data architectures.
Preparing data for descriptive, predictive and prescriptive modeling
Automating repetitive tasks and manual processes related with the data usage
Optimizing data delivery
Designing, developing, and testing large stream data pipelines to ingest, aggregate, clean, and distribute data models ready for analysis
Ensuring the highest standard in data integrity
Leveraging best practices in continuous integration and delivery
Collaborating with other engineers, ML experts, analysts, and stakeholders to produce the most efficient and valuable solutions
Contributing to our data democratisation and literacy vision by making accessible and easy-to-use data products and tools
Implementing features, technology, and processes that move us towards industry best practices, improving on scalability, efficiency, reliability, and security
Operations and ownership of systems in production, responding to incidents
Works well with people and is passionate about helping people be their best
Is a team player, an active listener, mentor, and able to communicate well
Shows solid reasoning and decision making, with the ability to work under pressure
Is passionate about technology, systems and data
Is curious, always learning, and keeping up to date with the industry
Has a deep understanding of data pipelining, streaming, and Big Data technologies, methods, patterns, and techniques.
Has a solid grasp on data modeling, schema design, data warehouse, and data lake design and implementation
Can troubleshoot complex database operations and performance issues
Can automate tasks using shell scripting or writing small applications
Qualifications & Experience:
Degree in Computer Science or Engineering or equivalent experience
3 years relevant industry experience
Experience with open source relational database systems (e.g. MySQL, PostgreSQL, etc.)
Significant technical experience and a proven track record of data modeling and schema design
A thorough understanding of database and data warehousing principles (e.g. OLAP, Data Marts, Star Schema, Snowflake, etc.)
Write code (we use Java and Python)
Familiar with CI/CD tools such as Jenkins, Travis, Circle CI, etc.
Experience with Kafka, PubSub, or other event-based systems
Experience with stream data pipeline frameworks or solutions such as Apache Flink, Apache Beam, Storm, Databricks, etc.
Experience with data warehousing, data lakes, lambda/kappa architectures
Experience working in cloud environments and with containerisation frameworks, tools and platforms (e.g. Docker, Kubernetes, GKE, etc.).
takealot.com employees are entrepreneurial and dynamic, smart, customer-centric, fun and have the shared ambition of takealot.com being the leading e-commerce company in Africa.
We have fun, work hard, take ownership, work in teams to create solutions and are always open to direct feedback/new ideas on where we can improve.
We are short on ego and high on output.
We are doers and not only thinkers, its all in the execution after all.
We love what we do and what we are creating.
We seek to employ an Extraordinary Mind who:
is forthright but respectful
is an expert at doing, who can not only design but also execute
is analytical, able to use data to make decisions
is competitive, self-directed and strive to be the BEST (GREAT requires a lot of work and does not only happen during business hours
is passionate about the potential of e-commerce and delivering a world-class customer experience
is entrepreneurial, thrives under change and accepts it is a constant and always looks for solutions to do something better and faster
is able to think about problems from a business perspective using technical and product input
is curious and challenge the status quo
is innovative and enjoys iteration
will be at the cutting edge of developing new concepts for takealot.com.
thinks like an owner of the business.
is SMART, has INTEGRITY and is HARDWORKING
Note: Never pay for any training, certificate, assessment, or testing to the recruiter.
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