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
