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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | Operations Management / Process Analysis |
EmploymentType | Full-time |
Job Title: Sr Advisor, Data EngineeringLocation: BangaloreCompetitive SalaryOur Employee Value Proposition:Our Culture Code unites us and makes us a great family of companies and a great place to work. It s how we run the business, go to market, work together and provide inspirational leadership. Our culture code is defined by our values and are made real every day by defining expectations for how we work and how we lead.About Business Unit:We provide solutions to drive the business and decision making by delivering on-demand business insights and solutions that emphasize one version of the truth and data integrity.Role Overview:Interacts with business leaders and internal customers to create and establish design standards and assurance processes for software, systems and applications development to ensure compatibility and operabilityAnalyzes business goals, defines project scope and identifies functional and technical requirementsThe job function may include the following disciplines: Data analysis and science, data architecture and solutions engineering, visual design and analytics enablement and internal consultingKey Responsibilities:Develops technical processes and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis.Applies data extraction, transformation, and loading techniques in order to tie together large data sets from a variety of sourcesPartners with both internal & external resources to design, build and oversee the deployment and operation of technology architecture, solutions and softwareDesigns, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutionsEssential Requirements:Pulls together cross-functional teams in order to achieve goals and serves as expert spokespersonBuilds assigned solutions within the infrastructure provided for optimal extraction, transformation, and loading of data from a limited set of structured data sources using specified data engineering toolsFollows data engineering process standards and participates in testing of new data engineering technologies, providing feedback to leadership for global data solutions.Drives assigned projects that deliver improvement any one of the following five data stages: ingestion, storing, packaging, modeling and consumption.Drives projects with a short-term (Build/maintain analysis, monitoring, and productivity toolsIntegrates medium to large structured data sets that meet business requirementsProactively monitors and manages data design tenets and drives corrective actions regarding data quality issuesProvides leadership support in on-board training and mentoring junior level data engineersResponsible for data engineering project deliverables, timeline commitments and cost managementDesirable Requirements:Passion for innovation and the application of emerging data technologies to the delivery of cutting-edge business intelligence solutions, and the ability to quickly learn new tools/technologies as required.Experienced in working both independently and in a collaborative, cross-functional team environment.Strong verbal/written communication and presentation skills. Ability to clearly discuss applied big data platforms and applied solution designs to both technical and non-technical peers.Strong understanding of business functions, CRM transactional systems, data sets, data relationships and KPI measures.Strong project management and organizational skills.Strives for professional developmentCustomer focusedExperienced in coaching/training data engineering teamsStrong skills in building processes supporting data transformation, data structures, metadata dependency and workload managementStrong knowledge and experience in key data engineering technologies, including:- Big Data Tools(Spark, Hadoop, Python, Tableau etc)- Relational SQL and NoSQL Databases- Data Pipeline and Workflow Management Tools- Cloud Services- Stream-Processing Systems- Object-Oriented/Object Function Scripting Languages Benefits:We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities all to create a compelling and rewarding work environment.,
Keyskills :
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