W Data Engineer Denver Colorado Hybrid Apply
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Job Title Data Engineer
Location Denver, Colorado(Hybrid)
Duration Long Term
Job Description
Note- onsite interview in Denver
Enable data-driven decision making and in-time health monitoring of our Client's products by building and deploying product and feature specific analytics capabilities. Support product teams with the complex design, development and implementation of automated reporting and dashboards. Produce complex ad hoc reports and analytics. Develop real-time analytics for measuring product health, usage and customer value.
MAJOR DUTIES AND RESPONSIBILITIES
Design, develop, and implement complex reports and analytics
Leverage various data and technology resources to augment analysis
Expertly use analytical tools to provide insight and make recommendations
Use advanced data visualizations techniques to provide concise and compelling summary of analysis findings in reports and presentations
Interact with various stakeholders to understand their business needs, communicate project status and develop relationships to ensure satisfaction
Be a thought partner within the group, supporting the developments of insights, processes, and information that is valued by the business
QA and validate new and existing reports and analytics for proper and efficient execution and adherence to business and technical requirements
Write SQL code that meets the production requirements and design specifications
Provide ad-hoc analysis to address specific business questions from stakeholder groups
Participate in visualization design and deployment review sessions to ensure all technical and functional requirements have been met
Maintain accurate documentation of reporting processes and monitor and resolve any failures
Mentor and lead junior developers in both design and technology
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Strong ability to analyze, interpret and present data
Knowledgeable of Agile development methodologies
Strong understanding of advanced analytics processes and reporting design principles
Ability to communicate complex technical concepts
A proven track record of development within a variety of technology stacks specific to Big Data pipelines Experience with SCALA, Python and/or SQL preferred
Good working knowledge of development strategies, project management and business and technical consultancy
Ability to adapt, learn and continue to expand in Cable and IP product and system knowledge
Proven track record for strong problem resolution techniques, ability to find solutions
Strong communication skills, verbal and written, for internal and external customers a must
Ability to communicate effectively orally and electronically
Ability to make decisions and solve problems while working under pressure
Ability to manage and deliver against several initiatives simultaneously
Ability to motivate others
Ability to prioritize and organize effectively
Ability to read, write, speak and understand English
Education
Bachelor's degree in Computer Science, Computer Information Systems, Engineering, Mathematics or related field
Related Work Experience
2+ years of designing and building reports and analytics using Tableau desktop and server, 8.2 or higher
2+ years of designing and building reports and analytics using other tools, such as Cognos, MircoStrategy, Business Objects, SSRS etc.
2+ years of data extraction experience using SQL
2+ years of database tools experience such as Hive, HUE, Sqoop, Pig etc.
1+ years of Python and/or bash scripting
1+ years of Git source control management experience
2+ years of Linux operating system experience
2+ years of experience using Big Data platforms such as HortonWorks, Cloudera etc.
2+ years of experience in data validation, analysis, and debugging
2+ years of requirements gathering, analysis, and documentation
General Comments
Requirements
Top 3 Requirements:
Advanced SQL knowledge (ETL)
Data analysis experience with data validation
Python
AWS
Spark
Plusses:
Enterprise company experience
Tableau
Aditya Kumar
Technical Recruiter
Stellent IT
Phone: 7327959133
Email:aditya@stellentit.com
Gtalk:aditya@stellentit.com