TechWish’s Post

Data Governance

Greetings, Hiring for "Data Engineer" at Tampa, FL (Onsite). Job Type : Full Time Basis Responsibilities: ·  Collaborate with the project team to identify various sources of risk data. Work with data owners and understand its format, structure, and any access restrictions. ·   Implement procedures to extract data from various sources. This might involve writing scripts or using data integration tools to automate the data extraction process. ·  Cleanse and transform the extracted data to ensure consistency and compatibility with the target risk management system. This may involve handling missing values, formatting inconsistencies, and applying data quality checks. ·   Design and implement a data storage solution for the risk management system. This might involve selecting appropriate database technologies or cloud storage solutions based on data volume, performance requirements, and scalability needs. ·  Depending on the project's needs, the Data Engineer might be responsible for setting up and managing a data warehouse to store and analyze historical risk data, or a data lake for storing all raw risk data in its original format. ·  Implement data security measures to protect sensitive risk data. This includes defining user access controls, encryption strategies, and audit logging to ensure data integrity and compliance with regulations. ·   Build automated data pipelines to extract, transform, and load risk data from source systems to the target risk management system. ·  Schedule and orchestrate the execution to ensure data is extracted, transformed, and loaded at the desired frequency, inclusive of workflow management tools or scripting techniques. ·  Monitor data flow for errors or failures. Implement data quality checks throughout the data ingestion process to ensure the accuracy, completeness, and timeliness of data within the risk management system. ·   Collaborate with data analysts and business users to understand their risk data analysis requirements. Translate these requirements into technical specifications for data extraction, transformation, and storage. ·   Collaborate with Technical teams to ensure the data engineering tasks align with the overall IT infrastructure and security policies of the firm. You can share your resume at abhijeet@hrpundits.com or connect with me at +1 312-584-0722. #DataEngineer #DataStorage #RiskManagement

Do you hire for data governance roles internally or externally? It's probably a good idea to do a healthy mix of both! Definitely don't ignore the potential of your current workforce! You already have some great data custodians! Note that if you are assigning Data Governance roles (data owner, data steward,...) to your colleagues on top of their current roles, you need to ensure that the proper steps are taken to ensure they have: 1) Enough time allocated for their new role. 2) Motivation to perform the new tasks as well as their current ones. 2) Support from their direct management. That means you have to 1) Estimate their effort. 2) Ensure their targets/KPIs include Data Governance activities. 2) Have executive sponsorship for the Data Governance program Properly embedding Data Governance in the organization is key to its success. #DoTheWork #DataGovernance #ChangeManagement element61

Hello Connections!!! Hiring Alert 📢 Top MNC!!! 📌 Job Title - Data Modeller - ERWIN 📌 Years of Experience - 7 - 14 Years 📌 Shift timings - 1 PM - 10 PM 📌 5 days work from office 📌 NP- Immediate-30 days  📌 Location - Noida Roles & Responsibilities : ✔ Develop comprehensive conceptual, logical, and physical data models for multiple domains within the organization, leveraging industry best practices and standards.  ✔ Collaborate with business and functional teams to understand their data requirements and translate them into effective data models that support their strategic objectives.  ✔ Serve as a subject matter expert in data modeling tools such as ERwin Data Modeler, providing guidance and support to other team members and stakeholders.  ✔ Establish and maintain standardized data models across portfolios and domains, ensuring consistency, governance, and alignment with organizational objectives.  ✔ Identify opportunities to optimize existing data models and enhance data utilization, particularly in critical areas such as fraud, banking, AML.  ✔ Provide consulting services to internal groups on data modeling tool usage, administration, and issue resolution, promoting seamless data flow and application connections.  ✔ Develop and deliver training content and support materials for data models, ensuring that stakeholders have the necessary resources to understand and utilize them effectively.  ✔ Collaborate with the enterprise data modeling group to develop and implement a robust governance framework and metrics for model standardization, with a focus on long-term automated monitoring solutions. Interested Candidates drop your resume at roshni@zenfinet.com #DataModeling #ErwinDataModeler #DataArchitecture #DatabaseDesign #DataModelingTools #ERD #DataGovernance #DataManagement #DataIntegrity #ErwinModeling #InformationArchitecture #DataEngineering #DatabaseOptimization #BusinessIntelligence #DataVisualization #DataAnalytics #DataModelingBestPractices #DatabaseSchema #MetadataManagement  

Ready to embark on the exhilarating journey of becoming a Data Solutions Architect in 2024? 🚀 Buckle up because we're about to take you on the ultimate guide to seizing this thrilling opportunity! Why should you choose this electrifying path? 🤔 Well, let's just say that leading companies in the realms of tech, finance, and healthcare are clamouring for Data experts like never before! In this dynamic landscape, the demand is soaring, and the job market is positively ablaze in 2024! 🔥 But what does it take to truly shine as a Data Solutions Architect? It's a fusion of educational prowess, specialised skills, and hands-on experience that sets you apart from the crowd! 🎓 Educational Background: Arm yourself with a potent blend of a bachelor's degree and top-tier certifications in data governance and management to supercharge your profile! 🏆 Certifications: Secure your position at the forefront of the field with coveted credentials like Certified Data Management Professional or platform-specific certifications, giving you the competitive edge you need to thrive! 💻 Technical Skills: Dive deep into the intricate world of database management, SQL wizardry, data warehousing mastery, and command over tools such as Informatica, Collibra, or Alation, empowering you to navigate the most complex data landscapes with finesse! 📈 Analytical Skills: Unravel the mysteries hidden within data, adeptly identifying quality issues, deciphering trends, and unlocking invaluable insights that drive data-driven decision-making to new heights! 🤝 Collaboration and Communication: Become the indispensable link between the realms of IT and business, effortlessly translating technical jargon into actionable insights that propel your organization toward unparalleled success! 🌐 Experience: Garner 2-5 years of invaluable experience in data-related roles, immersing yourself in the intricacies of data standards, policies, and compliance regulations, ensuring you're always one step ahead in this ever-evolving domain! 📣 Exciting News! ManningGlobal.com has just unveiled a treasure trove of new job opportunities in the realm of Data Science! Don't miss your chance to seize the future today! 📣 #Data #SolutionsArchitect #SQL #CareerOpportunity #TechJobs2024 #DataManagement #ManningGlobal

Hello,   Hope you are doing well !!! We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, and we currently have a job opening that may interest you. Job title: Data Engineer Location: Tampa, FL (Onsite from day 1) Position: Fulltime   Job Description: • Collaborate with the project team to identify various sources of risk data. Work with data owners and understand its format, structure, and any access restrictions. • Implement procedures to extract data from various sources. This might involve writing scripts or using data integration tools to automate the data extraction process. • Cleanse and transform the extracted data to ensure consistency and compatibility with the target risk management system. This may involve handling missing values, formatting inconsistencies, and applying data quality checks. • Design and implement a data storage solution for the risk management system. This might involve selecting appropriate database technologies or cloud storage solutions based on data volume, performance requirements, and scalability needs. • Depending on the project's needs, the Data Engineer might be responsible for setting up and managing a data warehouse to store and analyze historical risk data, or a data lake for storing all raw risk data in its original format. • Implement data security measures to protect sensitive risk data. This includes defining user access controls, encryption strategies, and audit logging to ensure data integrity and compliance with regulations. • Build automated data pipelines to extract, transform, and load risk data from source systems to the target risk management system. • Schedule and orchestrate the execution to ensure data is extracted, transformed, and loaded at the desired frequency, inclusive of workflow management tools or scripting techniques. • Monitor data flow for errors or failures. Implement data quality checks throughout the data ingestion process to ensure the accuracy, completeness, and timeliness of data within the risk management system. • Collaborate with data analysts and business users to understand their risk data analysis requirements. Translate these requirements into technical specifications for data extraction, transformation, and storage. • Collaborate with Technical teams to ensure the data engineering tasks align with the overall IT infrastructure and security policies of the firm. You can share your resume at zaid@hrpundits.com or connect with me at +1 312-584-0530. #DataEngineer #Data

Ready to embark on the exhilarating journey of becoming a Data Solutions Architect in 2024? 🚀 Buckle up because we’re about to take you on the ultimate guide to seizing this thrilling opportunity! ⤵️ Why should you choose this electrifying path? 🤔 Well, let’s just say that leading companies in the realms of tech, finance, and healthcare are clamouring for Data experts like never before! In this dynamic landscape, the demand is soaring, and the job market is positively ablaze in 2024! 🔥 But what does it take to truly shine as a Data Solutions Architect? It’s a fusion of educational prowess, specialised skills, and hands-on experience that sets you apart from the crowd! 🎓 Educational Background: Arm yourself with a potent blend of a bachelor’s degree and top-tier certifications in data governance and management to supercharge your profile! 🏆 Certifications: Secure your position at the forefront of the field with coveted credentials like Certified Data Management Professional or platform-specific certifications, giving you the competitive edge you need to thrive! 💻 Technical Skills: Dive deep into the intricate world of database management, SQL wizardry, data warehousing mastery, and command over tools such as Informatica, Collibra, or Alation, empowering you to navigate the most complex data landscapes with finesse! 📈 Analytical Skills: Unravel the mysteries hidden within data, adeptly identifying quality issues, deciphering trends, and unlocking invaluable insights that drive data-driven decision-making to new heights! 🤝 Collaboration and Communication: Become the indispensable link between the realms of IT and business, effortlessly translating technical jargon into actionable insights that propel your organization toward unparalleled success! 🌐 Experience: Garner 2-5 years of invaluable experience in data-related roles, immersing yourself in the intricacies of data standards, policies, and compliance regulations, ensuring you’re always one step ahead in this ever-evolving domain! 📣 Exciting News! ManningGlobal.com has just unveiled a treasure trove of new job opportunities in the realm of Data Science! Don't miss your chance to seize the future today! 📣 #Data #SolutionsArchitect #SQL #CareerOpportunity #TechJobs2024 #DataManagement #ManningGlobal

Ideal Routine for a Data Governance Manager : - Conducting in-depth data governance assessments weekly - Ensuring data policies are reviewed and updated monthly - Implementing efficient data security & privacy measures - Maintaining a clean and well-organized metadata repository - Collaborating with executive leadership to prioritize data governance initiatives Actual Routine for a Data Governance Manager : - Devoting 98% of time to handling urgent data tasks for Business - Overseeing daily data quality checks and issue resolutions - Spending 80% of time fighting with technical teams, ending up in shadow IT - Having the data governance roadmap influenced by various departments - Facing a constant challenge of managing technical debt, despite significant data growth 💭 Dreaming of a Relaxing Job? Become a Data Governance Manager. #datagovernance #data #organization

💡 Considering hiring data advisory services on a retainer agreement? Here are some advantages to ponder: 1.    Holistic assistance: Through a retainer, you gain access to comprehensive support spanning various facets of data management, including governance, strategy, quality, and security. This holistic approach ensures that all aspects of your data ecosystem receive attention and optimization. 2.    Long-term planning: With a retainer in place, you can embark on long-term planning endeavors, mapping out strategies and initiatives that align with your overarching business goals. This extended timeline allows for more robust planning and implementation processes. 3.    Continuous optimization: Data environments are dynamic and ever-evolving. A retainer agreement ensures ongoing optimization of your data processes and systems, keeping them aligned with industry best practices and regulatory requirements. 4.    Proactive problem-solving: By maintaining a retainer relationship, you empower your organization to address challenges proactively rather than reactively. This proactive approach minimizes the impact of potential issues and fosters a culture of continuous improvement. 5.    Customized solutions: Retainer agreements offer the flexibility to tailor services according to your specific needs and priorities. Whether you require periodic assessments, ongoing monitoring, or ad-hoc advisory sessions, the arrangement can be customized to suit your requirements. 6.    Resource efficiency: Opting for a retainer agreement can be more resource-efficient compared to engaging consultants on a project-by-project basis. It streamlines the engagement process, reduces administrative overhead, and optimizes resource utilization. 7.    Strategic collaboration: Over time, a retainer agreement nurtures a strategic partnership between your organization and the data advisory firm. This collaboration enables deeper insights into your business challenges, facilitating the co-creation of tailored solutions that drive tangible outcomes. 8.    Enhanced responsiveness: With a retainer in place, you benefit from enhanced responsiveness and agility in addressing emerging needs or opportunities. The dedicated support ensures timely assistance whenever required, minimizing downtime and maximizing productivity.   Improve your data management efforts with the advantages of data advisory services through a retainer agreement.   #DataManagement #DataGovernance #MasterDataManagement #DataQuality #DataStrategy #BusinessIntelligence #BigData #Analytics #DigitalTransformation #DataConsulting #DataInsights #DataAnalytics #DataScience #DataSecurity #InformationManagement #DataInnovation #AgileData #TechConsulting #GlobalData #BusinessStrategy #africa #ai #airlines #artificialintelligence #bank #banking #business #cybersecurity #data #deeplearning #eastafrica #finance #financialservices #fintech #insurance #insuranceindustry #kenya #leadership #machinelearning #rwanda #tanzania

Hello LinkedIn tribe! 👋 Ever felt like you're navigating a labyrinth when it comes to data governance? 🌐🔐 Well, it's time to crack the code and demystify it together! 💡 Think of data governance as the rules and guidelines that keep a city running smoothly. 🏙️ In this city, data is the lifeblood and it needs to be managed efficiently, securely, and ethically. 📚 Data governance ensures we have a common language and understanding, so everyone is on the same page. Clarity, consistency, and collaboration are its key principles! 🤝 🔒 It's also the guardian of our data! It ensures data is used and handled responsibly, respecting privacy and security concerns. Safety first, always! 🛡️ 📈 And let's not forget, effective data governance drives data quality, which in turn drives better decision making. It's the secret sauce for business success! 🚀 Thank you Charlotte Ledoux ! For your clarification on who is doing what. It is always good to know.