Senior Data Engineer
NIRA
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet performance and business requirements
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies
- Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, credit risk, operational efficiency and other business KPIs.
- Create data tools for analytics and data scientist team members that assist them in building and scaling our core products
- Work with cross domain data and analytics experts to strive for stronger data driven outcomes for the business.
- Advanced 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.
- Working knowledge of message queuing, stream processing, and highly scalable big data' data stores.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science.
- Experience with big data tools: Hadoop, Spark / PySpark, Kafka.
- Experience with relational SQL and NoSQL databases.
- Experience with object-oriented/object function scripting languages: Python.
- Expertise in data modelling and buiding data driven systems.
- Well versed with Shell Scripting.
- Hands on experience on various AWS services like EMR, EC2 Glue.
- Deploy existing data projects using CICD pieplines.
- Knowledge on Docker is a plus.