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Leadership Role - Data & Platform Engineering (MNC IT Captive)

20.00 to 25.00 Years   Pune   02 Dec, 2022
Vertex Corporate Services India Pvt Ltd Hiring For Leading MNC IT Captive
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / DatawarehousingGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Position: Leadership Role - Data & Platform Engineering (20-25 yrs) (Leading MNC IT Company)Role:- This is a Technology Leadership role and will be responsible for capability development, solution architecture and delivery management of specialized delivery projects- This role is responsible for understanding the Companys dataplatform strategy/ architecture and the data to support that architecture. The role will be responsible for working closely with various LOBs to analyze and document the major data and information assets used by them- The candidate will provide directional guidance for various data projects on things like tools selection, architecture selection, methodology selection etc.- Work as solution architect on multiple projects and will be responsible for creating best in class solution designs using open source and commercial tools for both on-premise and in the cloud deployments- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilityRequirements:- Bachelors / Masters Degree in Computer Science, Information Systems or Equivalent- 20-25 years related work experience or equivalent- Needs to be an expert on various architectures, latest tools, current and future trends in data engineering space especially Big Data, streaming technologies and Cloud technologies- Should be a keen learner and possess excellent Change Management capabilities- Person must have strong management skills and the ability to plan and execute in a complex, fast-paced environment- Candidate must possess excellent communication skills as it is essential to work cross functionally with many different stakeholders to develop the data platform strategy and roadmaps- Must have excellent influencing and negotiation skills- Hands on experience with Big Data technologies (Spark, Kafka, Hive, Impala, Kudu etc.) and have at least 1 Big data implementation on platforms like Cloudera, MapR, HortonWorks etc.- Expertise in emerging technologies (Big Data, Distributed Processing, In-Memory data bases, Cloud Data Platforms including Snowflake)- Hands on experience with database design and database optimization techniques for performance in very large volume data warehouse environment using industry standard RDBMS (Oracle, Neteeza, Snowflake, Vertica or equivalent)- Knowledge of ML/AI tools and their integration with Big Data environment would be a great advantage- Proven ability to analyze requirements and clearly communicate those requirements to both business and technical stakeholders in many forms such as verbally, road maps, presentations and solution technical documentation such high level and detailed technical design documents- Direct experience with architecting and executing data consolidation and movement programs to take disparate data sources and consolidate them into an Integrated Data Warehouse- Experience with leading ETL tools, such as Talend, Ab Initio, Informatica, Data Stage or equivalent- Experience with leading BI Reporting Tools, such as Cognos, Business Objects, Power BI, Tableau or equivalent- Capable of providing thought leadership and abstract thinking- Develop and articulate to stakeholders a consolidated understanding of the business requirements and drivers for Data & Analytics at the enterprise level- Establish and lead a targeted team of expert data architects and data modelers who focus on hands on data modeling, analysis, and architecture/design of data movement, data access, transactional and analytics solutionsLocation: Pune/ Bangalore/ ChennaiThis position is for a Client of Vertex Corporate Services which is a Leading MNC IT Captive

Keyskills :
data engineeringbig datacloudtechnology leadership

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