Data Engineer
7 months ago
Create and enhance data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing, and analyzing large sets of data across different domains for analysis.
- Use different Data warehousing concepts to build a Data warehouse for internal departments of the organization.
- Designs and develops data pipelines, data ingestion and ETL processes that are scalable, repeatable, and secure for stakeholder needs.
- Build Data architecture to support data management strategies to support business intelligence efforts for various stakeholders.
- Develops near real-time and batch ETL data processes aligned with business needs, manages and augments data pipeline from raw OLTP databases to data solution structures.
- Documents data flow diagrams, security access, data quality and data availability across all business systems.
**Requirements**:
- Bachelor’s degree in computer science, Information Technology or equivalent.
- Knowledge of functions, Fintech, and e-payment
- Proven experience in Linux and Windows Server OS and Oracle/MySQL/MS-SQL, Mongo DB environments.
- Strong experience in Python - Proven experience in ETL development (Apache spark, kafka, airflow, apache impala, Hadoop, hdfs)
- Be able to work with ambitious timelines in a dynamic, high-growth environment - Strong understanding for ODS, DDS and data marts
- Good communications skills, with both technical and business audiences.
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