AddressHIR ING
Job Skills
Azure ADF, Azure ADF, BI/BA
Description
Responsibilities:
- Demonstrate knowledge of cloud architecture and implementation features of OS, multi-tenancy, virtualization, orchestration and scalability.
- Act as a Subject Matter Expert to the organization for cloud/On-prem end-to-end architecture, including/ any one of AWS, GCP, Azure, future providers, networking, provisioning and management.
- Communicate and provide thought leadership in Data strategy, Technologies, engineering to business and IT leadership teams and stakeholders.
- Providing a vital function in bridging the gap between business and technology. In partnership with Product Owner(s), Stakeholders, other Subject Matter Experts, work with technologies such as Cloud data warehousing, Data lakes, Analytical platforms and solutions.
- Should be able to define a modern data ecosystem, considering current and futuristic data needs.
- Work closely with all business areas to capture BI, Business Intelligence Data, Analytics, reporting requirements based on business objectives, initiatives, challenges and questions.
- Translate user stories into wireframe designs of the dashboards.
- Providing BI/reporting on all the identified KPI areas specified in the KPI requirements document by creating, developing, maintaining BI reports in visualization tools such as Microsoft Power BI. The dashboards will be updated and maintained by the various business teams and self-service. Should be able to cover astatic design aspects in report or dashboard design.
- Providing advice on technical aspects of BI development, integration, including the operational, maintenance aspects of systems under development and proposed system recovery procedures.
- Ensure that relevant technical strategies, policies, standards and practices are applied correctly.
- Support the Reporting & Analytics team to respond positively to proposed data initiatives, arising from the Information Governance Group, and provide the necessary support and expertise to deliver such initiatives.
- Provide ongoing support and implementation of change for the ETL solution interfacing between the applications.
- Apply enterprise data management practices and principles in ways of working.
- Identify patterns, trends and insight through the use of the appropriate tools.
- Identify data quality issues through data profiling, analysis and stakeholder engagement.
- Analyze data to provide insights for internal and external stakeholders on improving the performance.
The Role offers:
- Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development.
- An outstanding opportunity to re-imagine, redesign, apply technology to add value to the business and operations.
Essential Skills:
- 10+ years of experience delivering business intelligence solutions.
- 10+ years of experience with OLTP and OLAP database models.
- Expertise in programming writing computer programs and analyzing large datasets to uncover answers to complex problems.
- Fluent in relational database concepts and flat file processing concepts.
- Must be knowledgeable in software development lifecycles/methodologies i.e. agile.
- Must be knowledgeable Data storytelling communicates actionable insights using data, often for a non-technical audience.
- Expertise in Business intuition, Connect with stakeholders to gain a full understanding of the problems they are looking to solve.
- Must have analytical thinking. Find analytical solutions to abstract business issues.
- Must have critical thinking. Apply objective analysis of facts before concluding.
- Must have Interpersonal skills. Communicate across a diverse audience across all levels of an organization.
- Must have strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation.
- Strong problem-solving, time management and organizational skills.
- Expertise in Database Technology SQL Server, Netezza, Hadoop and Cloudera.
- Expertise in ETL Technology: SSIS, DataStage, Talend, CRON scripting, Perl, BI Technology: SSRS, SSAS, Tableau and MicroStrategy.
- Expertise in Cloud, AWS, Azure, GCP in Data Engineering and Analytics streams, Cloud SaaS: Snowflake, Databricks, Matillion, HVR, etc.
- Familiarity with one of the Data Governance & Data Catalog tools.
- Familiarity with Data Engineering tools, data ops tools in On-prem and Cloud eco systems.
- Good to have certifications in Togaf, PMP or CSM.
Essential Qualification:
- BE/BTech in Computer Science, Engineering, or relevant field.
