City of Burbank’s Post

Data Architect

Factors to Consider While Hiring a Data Engineer Consultant in 2024 https://lnkd.in/eEmTxE7w #Dataengineeringconsulting #dataengineerconsultant #dataengineerconsultancy #dataengineeringconsultancy In this article we will explore several factors to consider while selecting a data engineer consultant in 2024.

You might want to hire for your #trading business roles like: -Data Engineers -Data Scientists -Data Architects That will mean creating a "talent pipeline". But what is a data architect? And how does he fit in this field? -A data architect is an IT professional role responsible for managing an organization’s data infrastructure -This involves designing, implementing and maintaining the technical systems that store data They serve as the backbone of an organization’s data management strategy, ensuring that data is managed efficiently and securely. Here are some of their key responsibilitieses: -Designing enterprise data management frameworks: •Data model designs •Database development standards •Implementation and management of data warehouses •Create frameworks to track data assets and their flow -Ensuring data security and compliance including: •Access restrictions •Encryption •Privacy laws -Implementing data management processes: •Data ingestion •Data transformation (related to storage) •Data storage -Build data models and strategies (not trading strategies): •Data models to identify the relationships between different data entities •Data strategies outline the organization’s approach to collecting, storing and analyzing data related to the business About the technical skills: -Proficiency in programming languages -Database management and design -Data modeling and design -Metadata management -Big data -Cloud computing Data architects and data engineers both play critical roles in the data management process, but their responsibilities and focus areas differ. One is focus on the business context and the other on the market context: A) Data architects are responsible for designing data infrastructure strategies, including: -The overall enterprise data management framework -Data security -Compliance. B) Data engineers focus on: -Building the trading system infrastructure for deployment -Maintaining the pipelines to automatize the system -Brokerage and platform's infrastructure

Factors to Consider While Hiring a Data Engineer Consultant in 2024 https://lnkd.in/gvHc35X9 #Dataengineeringconsulting #dataengineerconsultant #dataengineerconsultancy #dataengineeringconsultancy In this article we will explore several factors to consider while selecting a data engineer consultant in 2024.

#hiring Principal Data Engineer North Dallas or Detroit Metro, Plano, United States, fulltime #jobs #jobseekers #careers #Planojobs #Texasjobs #ITCommunications Apply: https://lnkd.in/gPutP-GR Principal Data EngineerThe Principal Data Engineer will provide data engineering and architecture support for complex Data management activities related to system software, hardware, performance, problem determination or resource management requiring communication and coordination with vendors, technicians, clients, and management. Provide technical input to management decision making in the areas of software, hardware, and performance. Responsibilities include performing detailed analysis of various projects and requests; developing designs for projects that have medium to high complexity; formulating procedures; monitoring key performance indicators; and implementing advanced business solutions. This role may also integrate Data solutions or build via DevOps.The Principal Data Engineer will develop strong collaborative relationships with key technology and data teams and will be responsible for data modeling, applying data quality rules & standards, leveraging the latest technologies, and performing proof-of-concept tasks to evaluate new data systems, products, and data source performance. This role will also assist development teams, troubleshoot with data ingestion, and manage ELT/ETL extraction needs and issues.Position Responsibilities:Design and MethodologyWork closely with business units, application teams, infrastructure areas and vendors to identity, review and evaluate the solution requirements.Investigate and propose strategic fits for virtualization, consolidation and rationalization solution opportunities within the infrastructure or business. Propose changes to the technical architecture and design solutions as applicable.Evaluate and align strategic fit solutions across infrastructure platforms and solutions specific to system hardware and software technologies.Understand, participate, review and influence long term capacity planning and technology investments.Technical ConsultingProvide Client consulting and planning guidance as applicable for moderate to large highly complex projects/programs.Provide consultation and works closely with other functional infrastructure areas/departments on multiple initiatives to meet common organizational / business goals and objectives.Participate in and provides consulting to project teams on architectural, design development, integration opportunities, planning of highly complex systems and assures it is aligned to our established strategies, guiding principles, rationales and practices.Planning and OrganizingIdentify and evaluate projects/programs/initiatives and design processes that enhance and rationalize existing and upcoming solutions.Map requirements into standard services solution, identity opportunities fo

If you are a #dataengineer you need to know what are Window Functions in #SQL and the Types of Window Functions. Window functions in SQL are a powerful tool for performing calculations across sets of rows within a result set. Unlike aggregate functions (SUM, COUNT, AVG), which collapse rows into a single summary row, window functions allow you to perform calculations while retaining each row of data. They achieve this by looking at a defined "window" of rows around the current row being processed. * Broadly, there are three main categories of window functions: • Aggregate Window Functions: These perform aggregate calculations (SUM, AVG, MIN, MAX) over the window of rows. However, unlike regular aggregate functions, they return a value for each row. Example: SUM(sales) OVER (PARTITION BY product_id ORDER BY date) calculates the running total of sales for each product, ordered by date. • Ranking Window Functions: These assign a rank or position to each row within the window, based on the ordering specified. Example: ROW_NUMBER() OVER (PARTITION BY department_id ORDER BY salary DESC) assigns a rank (1st, 2nd, etc.) to each employee within a department, ordered by salary in descending order. • Value Window Functions: These access specific values from within the window. They can retrieve the first, last, or offset values based on the ordering. Example: LAST_VALUE(name) OVER (PARTITION BY department_id ORDER BY hire_date) retrieves the name of the most recently hired employee within each department. ♻ LIKE and REPOST this so others can take advantage of the knowledge 💬 COMMENT if you have any questions or suggestions 🙌 🧡 FOLLOW Vicky Wilson Jacob for more news, tips, and tricks to help YOU become expert Data Engineer, Data Scientist, Data Architect, Data Analyst, AWS Certified and advance your career. #dataengineering