Hi All,
We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.
Strong Knowledge of SCCM, App V, and Intune infrastructure.
Powershell/VBScript/Python,
Windows Installer
Knowledge of Windows 10 registry
Application Repackaging
Application Sequencing with App-v
Deploying and troubleshooting applications, packages, and Task Sequences.
Security patch deployment and remediation
Windows operating system patching and defender updates
Thanks,
Mohan.G
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Design and own product roadmap. Ensure steady execution of product life cycle processes from idea to final launch.
Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth
Create buy-in for the product vision both internally and with key external partners
Translate product strategy into detailed requirements and prototypes Scope and prioritize activities based on business and customer impact Manage product team and guide whenever necessary.
Work closely with engineering teams to deliver quick time-to-market and optimal resources.
Drive product launches including working with the public relations team, executives, and other product management team members Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed
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Define and create metrics to measure the success of the product. Work on continuous enhancements at each stage of the product life cycle Ability to conceptualize, manage and prioritize tasks
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5+ work experience in product management.
Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management
Solid technical background with understanding and/or hands-on experience in software development and web technologies
Strong problem-solving skills and willingness to roll up one’s sleeves to get the job
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Excellent written and verbal communication skills
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Enterprise Data Architect - Dataeconomy (25+ Years Experience)
About Dataeconomy:
Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.
Job Summary:
Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.
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Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.
Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.
Advise senior leadership on strategic data initiatives and their impact on business performance.
Architecture and Modernization:
Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.
Design and implement a scalable data lake/warehouse architecture for future growth.
Advocate for and adopt cutting-edge data technologies and best practices.
ETL Tool Experience (8+ years):
Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.
Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.
Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.
Data Governance and Quality:
Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.
Develop and implement data quality standards and processes for continuous data improvement.
Oversee the implementation of master data management and data lineage initiatives.
Collaboration and Mentorship:
Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.
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Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.
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Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.
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Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.
Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.
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Outstanding communication, collaboration, and leadership skills.
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Strong analytical and critical thinking skills.
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