Develop, construct, test and maintain architectures and processing workflows. Build and recommend robust, efficient and reliable data pipelines based on business requirements.
Defining new data collection and analysis processes, develop solutions for data acquisition.
Determines databases structural requirements by analyzing internal operations, applications, and programming, reviewing objectives with stakeholder, and evaluating current systems, ensuring architecture supports business requirements.
Develops database solutions by designing proposed system, defining database physical structure and functional capabilities, security, back-up, and recovery specifications
Installs database systems by developing flowcharts; applying optimum access techniques; coordinating installation actions; documents actions
Maintains database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance
Preparing reports for executive leadership that effectively communicate trends, patterns and predictions using relevant data
Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
Prepares users by conducting brief and training
Provides database support by coding utilities, responding to user questions, and resolving problems
Perform other duties as assigned
Bachelors degree required, in analytics, computer science or similar field.
Fluent spoken and written English
Excellent interpersonal skills & strong team player with ability to meet timeline
Highly responsible, proactive and have ability to deal with ambiguous situations
Strong hands-on experience, knowledge & proficiency in reporting tools (e.g., Excel, DataStudio) and BI visualization software (e.g. Power BI, Tableau etc.)
Knowledge of at least 1 of the following Programming Languages (Python preferred)
Ability to create and integrate APIs, understand data pipelining and performance optimization
Hands on experience in leveraging database and data query technologies (e.g., SQL, Snowflake, Redshift etc.) to set up advanced visualizations and business reports.
Project Exposure to Atlassian eco-system (Confluence, Bit-Bucket, etc.) to manage codes and document them for collaboration across departments.
Must commit to at least 6 months of full-time work, to start immediately