Senior Big Data & BI Developer
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Job Details
Skills And Tools:
Job Description
Are you ready to seize an opportunity to drive leading edge technology solutions within our organization? Do you value deploying and working on the latest solutions with real world impact? Do you thrive by mentoring and leading by example? Would you love to help us accelerate the transformation towards a data-driven organization?
If so, then Wssel Analytics Team is your place
We work with the latest technologies to design, build, optimize data-centric solutions, and help our Organization to unlock the value of its data. Through unleashing the power of data and crafting solutions to meet customer needs.
You will provide technical leadership and engage in the complete lifecycle of large data-driven projects. Your key to success is your passion for our stakeholders, demonstrated through professionalism and striving for excellence in all aspects of the customer experience: understanding and optimizing databases and data visualization, designing and developing solutions, and delivering with high quality on challenging engagement.
Responsibilities
- Collaborate with end customer and Microsoft internal cross-functional stakeholders to understand their business needs. Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics/key performance indicators (KPIs) over time.
- Conduct end-to-end analysis that includes data gathering and requirements specification, analysis, ongoing scaled deliverables and presentations.
- Architect, develop and automate Business Intelligence (BI) and analytics solutions, including data modeling and data ingestion. Iteratively build and prototype dashboards to provide insights at scale.
- Make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Develop comprehensive understanding of data structures and metrics, advocating for changes where needed.
Job Requirements
Qualifications
- Background in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field
- 6 to 8 years of experience with managing implementation lifecycle for delivery of BI and analytics solutions using
-Data integration (ETL) at least one of the following: SSIS, Talend, Data Stage, Pentaho, Informatica, etc
-Data Modeling at least one of the following: SSAS, IBM Cognos framework, SAP Power Designer
-Data Visualization at least one of the following: Tableau, Power BI, Qlikviw, Cognos Analytics
-Data Science and Analytical tools, languages, or libraries: SAS, SPSS, R, Mahout, RapidMiner, MatLab) is a plus
- Work experience should involve support, risk management, technical consulting, solution design, project envisioning, planning, development, deployment, and management.
- Some business process and people management skills or related experience required.
- Candidates must have deep understanding of customer and IT environment and have demonstrated skills architecting and deploying technology to solve business problems.
- Candidates must have industry leading breadth knowledge of subject area and have demonstrated analysis and communication skills connecting technology and business problems.
Role Specific Characteristics May Include
- Knowledge and experience with big data solutions like Hadoop, MapReduce, Hive, HBase, and Spark with implementation experience in major public cloud platforms.
- Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval.
- Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.
- Software development skills in one or more high level languages (C#/C/C++/Java/F#), one or more scripting languages (Python/Perl/Shell), knowledge of R. Expertise any of the common ML tools (Weka, R, RapidMiner, KNIME, Scikit Learn, SAS, SPSS, ModelBuilder etc.) is a plus.
- Ability to build production grade machine learning enabled solutions end to end.
