Data Intelligence Engineer

skills:
Python Programming, Data Visualization, SQL, MySQL, Python, Power Bi, Automation, MongoDB,

Job Description Data Intelligence Engineer

Duties & accountabilities

Build and maintain the data intelligence architecture, which is scalable, flexible, robust, evolving, cost-conscious and catering to the changing technology trends

Design, build and maintain Data Pipelines and embed efficient Engineering ensuring its loosely coupled and focused on data integrity and lineage

Design and build Data Visualizations focus on data security, self-service and intelligible temporal metrics to highlight risks and opportunities

Data Science and Analysis creative analysis to provide actionable insights to improve productivity and reduce risk

Business Development work with business partners to identify how value can be extracted from the data with a focus on self-service and automation

Define and measure key performance metrics, utilizing Data Intelligence

Maintain monthly/quarterly statistics and analysis for Senior Management, external customer stats, business trend analysis andoverall service statistics

Own the reporting output process, includes review and analysis of data output to ensure the data reflects the intended purpose

Creation of product line dashboards and analysisfor internal reporting and functional areas

The wider work includes to consolidate and normalize data from all possible data sources, correlate to find trends and top occurring patterns and tie back to system behaviors to determine fixes and enhancement required to reduce manual efforts

Strong experience in Python or scripting languages. Working knowledge, understanding and ability to write scripts using languages including Shell, Python and Power Shell.

Should be expert in automation i.e. ability to automate the data ingestion, data transformation and aggregation.

knowledge and working experience in Power BI/Tableau. Should have designed the dashboards on Power BI desktop with the latest trending visuals.

Good to have a working knowledge of DAX used in Power BI. Good to have knowledge about DAX studio tool.

Good to be aware of Power BI service i.e. Power BI.com and how the pbix files are deployed/published on different workspaces. Should be knowing creation of Power BI Apps from the reports and how the dataset refreshes are automatically set using gateways.

Good to be aware of how performance insights need to be understood in Power BI and how the improvements can be made using the tools i.e. Vertipaq Analyzer, Power BI helper

Strong experience with SQL and NoSQL databases such MySQL, PostgreSQL, DB/2, MongoDB, DynamoDB

Good knowledge about data modelling, data access, and data storage techniques.

Should understand agile software development processes, data-driven development, and reliability.

Strong communication skills required to be able to effectively communicate with both technical and non-technical teammates and stakeholders. Ability to collaborate in multi-functional agile teams

Good to have knowledge about cloud environments (AWS, Azure)

Business competencies

Education And Experience

Must Have

Bachelors degree required

Overall Experience: 6-8 years

Data Intelligence: 3-4 Years

Development & Support: 2-3 years Strong Python(or other scripting languages) skills Strong SQLskills Cloud Services Strong in AWS, Azure Power BI or any other BI tool experience

Working knowledge of cloud technologies (Blob/flat file processing)

3+years experienceindevelopment/ automationareas Good to Have

Knowledge of Service Now, JIRA, Azure DevOps Board

Thorough understanding of the software development life cycle and agile techniques

Strong written and oral communication skills

Strong problem solving and analytical skills

Proven ability to work independently

Expertise in MS Word, Excel, Visio, Project, PowerPoint