Data Engineer at Youverify

Youverify is a leading provider of digital identity management and supports innovative Private security companies, Government agencies, FinTech companies, and top tier banks manage KYC, AML in a safe and regulatory compliant manner. Youverify’s mission is to be the most reliable source of identity, address and background data verification. Since been peer-selected by cohort members of Village Capital PayPal Fintech 2018, Youverify has continued to shift the verification landscape with our product offerings. As a company that provides modern and compliant identity and address verification services for government, global enterprises and start-ups, Youverify knows first-hand how difficult it may be for businesses to verify the identity of their customers, staffs and partners and we want to help to make this process as simple and easy as possible. This is a unique opportunity to work in a fast-growing and product driven environment using new technologies and frameworks as we continue building our identity verification solution.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Lagos

About the Job

• We require the services of a 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.
• Ideal candidate will also be responsible in creating machine learning models and retraining systems.

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, 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.

Requirements

• B.Sc Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• 2+ years working experience 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.
• 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.
• 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.

Application Closing Date
21st October, 2022.

How to Apply
Interested and qualified candidates should send their CV including link to their project and / or portfolio to: [email protected] with the subject “Data Engineer”

Note: Only Shortlisted Candidates will be contacted.