Senior Big Data Engineer at Indicina Technologies Limited

Indicina Technologies Limited - We are building the ML-driven credit infrastructure Africa needs to drive economic inclusion on the continent. It is a global team with deep domain and technical expertise passionate about building the future of digital financial services.

We are recruiting to fill the position below:

Job Title: Senior Big Data Engineer

Location: Nigeria

About the Role

• Indicina’s Data Team is charged with executing the products that help drive our vision. 
• We are looking for a savvy Senior Big Data Engineer to join our growing team of data science experts.
• You will be responsible for creating, expanding, and optimizing data sets and data pipelines, as well as optimizing data collection and workflows used by our cross-functional Data Science team.
• As a data engineer, you will partner with data scientists and product teams, to build full-stack data science solutions using data from some of the world’s largest cloud apps.

Job Duties and Responsibilities

• Optimizing ETL processes: Assemble large, complex data sets to undertake a wide range analyses that answer a variety of questions
• Data architecture: Design data schema and partner with engineering teams to implement high-perf views, including cloud-based workflows in R and Python
• Work closely with Data Scientists to optimize and re-engineer model code to be modular, efficient and scalable, and to deploy models to production.
• Configure, deploy, manage, and document data extraction, transformation, enrichment, and governance process in cloud data platforms, including AWS
• Build visualizations to help derive meaningful insights from data.
• Partner with data scientists, PMs, engineers and business stakeholders to understand business and technical requirements, plan and execute projects, and communicate status, risks and issues.
• Perform root cause analysis of system and data issues and develop solutions as required. Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
• Manage CI/CD pipelines for developed services
• Product analytics: Exploratory analysis and answer questions at various levels of product development
• Communication: Communicate key insights and results with stakeholders and leadership. Interpret data/insights and use storytelling and data visualization to recommend product decisions.

Qualifications

• Bachelor's Degree in Computer Science (or related field) or 4 years of production experience 
• 3-5 years’ demonstrated experience with Big Data systems, ETL, data processing, and analytics tools.
• 5+ years architecting, building, and maintaining end-to-end data systems and supporting services
• 2+ years’ experience with relational databases as well as working familiarity with a variety of big data sources in Spark, Scala and/or other big data systems.
• 2+ years’ experience building and optimizing “big data” data workflows including data lake architecture, business intelligence pipelines and data visualization tools such as Power BI, Tableau or Metabase. 
• Experience with Amazon Web Services (AWS) such as Athena, Redshift, Glue, and others.
• Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results.  
• Demonstrated proficiency in writing complex highly optimized queries across diverse data sets, and implementing data science applications in R and Python using cloud-based tools and notebooks (Jupyter, DataBricks, etc.).
• Experience working with large datasets (terabyte scale and growing) and tooling
• Production experience with building, maintaining, improving big data processing pipelines 
• Production experience with stream and batch data processing, data distribution optimization, and data monitoring 
• Experience maintaining a large software system and writing a test suite.
• Experience with Continuous Integration, Version Control such as git.
• Deep understanding of data structures and common methods in data transformation.
• Excellent written and verbal communication skills  

Preferred:

• Exposure to ML/AI techniques
• Experience working with large data sets in SQL/Spark/Hadoop/Data Lake or similar
• Experience with data ingestion and transforming data using tools such as Logstash, Fluentd, FluentBit or similar.
• Experience with data warehousing with tools such as AWS Redshift, Google BigQuery, etc
• Experience incorporating data processing and workflow management tools into data pipeline design
• Experience developing on cloud platforms (i.e. AWS, Azure) in a continuous delivery environment
• Ability to provide technical leadership to other level.

Benefits

• Competitive salary 
• Annual training allowance
• Work Tool + Internet Allowance
• Paid Time Off (20 days plus national holidays)
• Health Insurance
• Flexible work opportunities
• Group Life Insurance 
• Performance Bonus
• Parental Leave.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online