We are looking for for a Senior Data Engineer who will be responsible in extracting value from our data and creating artificial intelligence products. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
- 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, optimising data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilise 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.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- A Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- 5+ years’ experience working as a Data Engineer
- 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 optimising ‘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 organisational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
N1,000,000 – N1,200,000 / month.
Application Closing Date
4th November, 2022.
Method of Application
Interested and qualified candidates should send their CV to: firstname.lastname@example.org using position applied for as the subject of the mail.