Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
Working with large, complex data sets.
- Solving difficult, non-routine analysis problems, applying advanced analytical methods as needed.
- Conducting end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Building and prototyping analysis pipelines iteratively to provide insights at scale.
- Interacting cross-functionally with a wide variety of people and teams to support broader project requirements or client business user questions.
- Making business recommendations (e.g. cost-benefit, forecasting, and experiment analysis) with effective presentations of findings through visual displays of quantitative information.
- After the creation of models, assisting engineering team(s) to implement those models in a variety of technology platforms (as mentioned below in qualifications).
- Working autonomously with limited direction from client or project team to solve a problem.
- Leverage data science and advanced analytics tools to profile and assess data quality and conversion requirements relative to client business scenarios.
Tools and Technology Required:
- Experience in analytics capabilities of one or more public cloud platforms (AWS, Google, Azure)
- Experience in using tools and techniques to profile and integrate heterogeneous data that includes structured as well as unstructured/semi-structured formats.
- Working knowledge of SQL/ NoSQL databases
Hands-on functional knowledge in one or more programming languages: Python , Node.Js, R, Java highly desirable.
Experience with Big Data Technologies and Tools: Hadoop, Hive, Pig, MapReduce, Spark, Spark Mlib, Mahout beneficial.
Knowledge:
- Education Level that includes a B.S. or MSc in mathematics, statistics, engineering, computer science, or other related engineer field
- Understanding of the principles of Data Lakes and Modern Data Warehouse platforms.
- Knowledge of the role of data taxonomies, ontologies, NLP and MDM in the processing and consumption of non-traditional data sources.
- Familiarity of Agile methodology and experience working in a fast paced engineering team environment
- Experience working in an consultative environment focused on client’s needs
- Excellent presentation, written, and verbal communication skills
Our Client specializes in Co-working space for startups. The business is rapidly expanding and needs an IT infrastructure to accommodate both existing IT processes and projected growth. Our growing technology firm is looking for an experienced Data Analyst who is able to turn project requirements into custom-formatted data reports. The ideal candidate for this position is able to do complete life cycle data generation and outline critical information for each Project Manager. We also need someone who is able to analyze business procedures and recommend specific types of data that can be used to improve upon them.