Data Engineering & BI Manager

· Lead the creation and enhancement of data solutions to ensure seamless delivery and management of large data sets across different domains for analysis.

· Utilize data warehousing concepts to build and maintain a Data Warehouse for the organization's internal departments, ensuring data integrity and availability.

· Build and oversee data architecture to support data management strategies to enhance business intelligence efforts for various stakeholders.

· Develop and manage near real-time and batch ETL data processes aligned with business needs to augment the data pipeline from raw OLTP databases to data solution structures.

· Maintain comprehensive documentation of data flow diagrams, security access protocols to ensure data quality, and data availability across all business systems.

· Understand and translate business requirements into the BI context, designing data models/marts to convert raw data into meaningful insights.

· Oversee the creation of dashboards and interactive reports using Power BI/Metabase to ensure they meet business requirements and provide actionable insights.

· Lead data analysis efforts, presenting findings through detailed reports that facilitate informed decision-making.

· Convert business requirements into technical specifications to set and manage timelines for task completion.

· Lead Oracle data warehouse development efforts to ensure optimal data storage and retrieval.

· Oversee SQL querying processes to achieve the best analytical results.

· Analyze current ETL processes, defining and designing new systems to improve efficiency and effectiveness.

· Make technical changes to existing BI systems to enhance their functionality and performance, ensuring they meet evolving business needs.

Requirements

• Bachelor’s degree in computer science, Information Technology or equivalent.

· 8+ years of experience in Data engineering & BI field

• 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

· Excellent leadership skills with a minimum 3 years of leading a team