Data Engineer (Flink, Kafka, Scala)

April 24

FairMoney

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Building the leading digital bank for Emerging Markets!

Finance • Technology • Lending • Loan • Mobile Loans

201 - 500

💰 Seed Round on 2018-11

Description

• As a Data Engineer at FairMoney, you will be responsible for mainly, but not limited to: • Work closely with data analysts/scientists, understand the business problems, and translate the requirements into a database, ETL, or reporting solution • Design, build, and maintain integration of heterogeneous data sources for DW & BI solutions to simplify analysis across the products • Design and implement data models that align with business needs and support data warehousing best practices • Contribute to the ongoing development and optimization of the data warehouse architecture • Implement tools and processes for ensuring data quality, and freshness with reliable, versioned, and scalable solutions • Identify issues in data flow and improvements in data stack which comprises visualization tools (Tableau), data warehouse (BigQuery), data modelling (dbt), git, and other in-house built as well as open-source tools • Implement best practices for indexing, partitioning, and query optimization • Stay up-to-date with new technologies in Data Engineering, Analytics, and Data Science • Implementing new technologies in a production environment to create a frictionless platform for data analytics and science teams to reduce turnaround time from raw data to insights and ML training/serving • Make it easy for business stakeholders to get a better understanding of data, and make the organization data-literate for self-serve analytics

Requirements

• 3+ years of work experience in designing, developing & maintaining ETL, databases & OLAP Schema, and Public Objects (Attributes, Facts, Metrics, etc.) • Hands-on experience in designing and implementing data ingestion/integration processes using SQL/Python • Strong proficiency in SQL and experience with database systems (e.g., PostgreSQL, MySQL, or similar) • Proficient in developing automated workflows using Airflow or similar tools • Proficiency in data principles, system and data architecture, and dimensional data modeling for Data Warehousing and Business Intelligence, and data governance principles • Good to have development experience in building business applications with a good command of Bash, Docker, Kubernetes, and Cloud Platforms • Ability to learn new software and technologies quickly to create prototypes for business use cases and make them ready for production • Effectively form relationships with the business stakeholders in order to help with the adoption of data-driven decision-making • Excellent problem-solving skills and attention to detail

Benefits

• Training & Development • Family Leave (Maternity, Paternity) • Paid Time Off (Vacation, Sick & Public Holidays) • Remote Work