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Experienced Database Architect and Data Engineering Lead with a proven track record of working in the financial services and gaming industries. Expert in Microsoft Azure, Oracle, SW Development, Data Platform and Data Warehouse design and implementation.
Data architect for a system supporting online-lending and Point-Of-Sale payment solutions, running in the Microsoft Azure Cloud. Responsibilities included:
- Responsible for business critical reporting to institutional funding partner that enabled business growth.
- Supporting development teams in database design, development and maintenance related tasks
- Design and development of a data vault and ‘Kimball’ dimensional data warehouse (and ETL routines)
- Supporting teams responsible for data visualisation and analytics (Power BI) and predictive analytics,
- Automation and modernisation of ‘reporting’ tasks and production monitoring (Elasticsearch)
Responsibilities extended (see previous role) to include data warehouse and BI systems. Achievements included:
- Implementation of ‘real’ time data feeds from OLTP systems to an integration hub and data warehouse to support compliance needs and real time analytics (game recommenders, leader-boards etc)
- Initiated research and discussion within the company on alternatives to traditional data warehousing storage and ETL solutions and integration processes (kafka / streaming / hadoop / schema-on-read / data-lakes etc)
Responsible for a wide variety of data related architecture, design, development, maintenance, tuning and migration tasks on a high volume OLTP system running on an Oracle database (supporting an online gambling system), including a key role in the following :
- Logical and physical database design of the key data structures
- Design and development of the ‘core’ Account gaming API (still in use after 15 billion monetary transactions)
- Defining high availability / disaster recovery / data retention policies
- Performance Troubleshooting and Tuning
- Defining database policies, standards and tools to support agile methods / continuous integration
- A number of large scale migrations
November 2005 — May 2006
Technical Architect for a global Siebel Call Centre application. Responsibilities included:
- Design and documentation of overall system architecture
- Design and development using Siebel Tools
- Design and development of ETL routines (using PL/SQL and Informatica)
- Coordinating / managing Siebel Call Centre application releases
- Requirements analysis and technical specifications
Masters Degree in Information Technology
Bachelor’s Degree in Civil Engineering
Career Expert Tips:
What Should Be Included In A Data Engineering Resume?
Having a carefully crafted data engineering resume is an essential step for those looking to break into the field. As data engineering is a highly specialized and technical skill set, it’s important to have a resume that accurately reflects your abilities and experience. In order to attract the attention of hiring managers and increase your chances of landing an interview, your resume should include specific information about your data engineering experience, technical skills, and other relevant qualifications.
To begin, your data engineering resume should include a summary of your professional qualifications and experiences. This should be detailed enough to give a prospective employer a solid understanding of your background in the field. Additionally, it should clearly highlight your experience with common data engineering tools and technologies such as Hadoop, ETL, Spark, and NoSQL databases. Be sure to include any certifications or awards that you have achieved, as well as any relevant coursework or research that you have completed.
Next, your data engineering resume should showcase your technical skills. This is a great place to list your proficiency with specific programming languages, database management systems, and big data tools, along with any other specialized skills that you may possess. Be sure to indicate any relevant software that you are familiar with, as well as any experience that you have with cloud-based solutions and distributed systems.
Finally, you should include any relevant experience that you may have had with project management, customer service, and data analysis. This can help demonstrate your ability to work in a wide variety of roles, and showcase your ability to use data engineering skills to solve problems and create value. By including these experiences on your data engineering resume, you will help to demonstrate that you have the skills and experience needed to be an effective data engineer.
What Skills Should I Put On My Resume For Data Engineering?
When applying for a position as a data engineer, it is important to include the right skills on your resume. Data engineering is a complex field, and employers typically look for candidates with a wide range of skills and experience.
A few key skills that you should include on your data engineering resume are programming languages such as Python, Java, and R; database management and query writing; familiarity with data warehousing and ETL; and experience with data analysis and data visualization. In addition, having experience with cloud technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform is important.
Good communication skills are also necessary for data engineering, as data engineers need to be able to explain complex concepts to their stakeholders. Having a strong understanding of algorithms and machine learning is also essential, as is being able to develop and maintain data pipelines.
Finally, staying up to date on the latest industry trends and technologies is essential. Data engineers need to be able to quickly adapt and learn new technologies as they emerge. Having a portfolio of your work and any open source contributions can also help demonstrate your expertise and commitment to the field.
Having a resume that includes these skills and experiences will help you stand out from other candidates and give you a better chance of getting hired for the position.
What Is The Job Description Of The Data Engineering?
Data engineering is a field that has been growing in popularity as businesses increasingly rely on data to drive decisions. It is the practice of collecting, transforming, and managing data to create value for an organization. Data engineers are responsible for designing and implementing data models, creating data pipelines, and maintaining data integrity. They are also responsible for managing and analyzing data to uncover insights that can be used to make better decisions and inform business strategies. Data engineers use a variety of tools to process and store data, including databases, data warehouses, and various analytics platforms.
Furthermore, data engineers are often responsible for ensuring data security and privacy, as well as building data-driven solutions for various business needs. While the job description for a data engineer can vary from company to company, the core responsibilities include data modeling, data pipeline design, data analysis, and data security.
When it comes to resumes, data engineers should focus on highlighting their technical skills and experience. While there are plenty of exciting opportunities in data engineering, employers typically look for candidates who have a demonstrated understanding of data pipelines, data infrastructure, and software engineering principles. Additionally, employers want to see a portfolio of completed projects and an understanding of database and data warehousing architectures. To demonstrate their competency in all of these areas, data engineers should include certifications, courses, and trainings that they have completed. Finally, employers often look for applicants who have experience in a particular programming language, such as SQL, Java, and Python, as well as experience with big data tech- stacks like Apache Hadoop and Apache Spark.
What Is A Good Objective For A Data Engineering Resume?
When writing a resume for a data engineering position, it’s important to focus on the specific skills and qualifications that will set you apart from other applicants. Your objective statement should be clear, concise, and tailored to the particular job you’re applying for. There are several possible objectives you could use, depending on what you want to emphasize.
A good data engineering resume objective should emphasize your technical skills, such as your experience with programming languages, databases, and other software. You should also stress your analytical skills and your ability to solve complex problems. It’s also helpful to include your knowledge of industry trends and the latest developments in the field of data engineering.
In addition to focusing on your technical skills, you should also emphasize your communication and organizational abilities. Data engineering projects can involve working with various stakeholders from different departments, so you should be able to demonstrate your ability to work effectively with others.
By creating a data engineering resume objective that is both well-written and tailored to the job you’re applying for, you can make sure that your resume stands out from the competition. A good objective statement can help you showcase your skills and experience and secure your ideal position.
What Are The Career Prospects In The Data Engineering?
Data engineering is a rapidly growing field with a lot of potential for career advancement. As businesses around the world continue to become more data-driven, the need for professionals who can bridge the gap between data scientists and software engineers is becoming increasingly important. Data engineers are responsible for designing and maintaining large-scale data infrastructure and pipelines, as well as developing and deploying machine learning and artificial intelligence models. As such, they play a pivotal role in the success of any organization that relies heavily on data.
The data engineering field offers numerous career prospects for those with the right skills and experience. The roles vary from entry-level data engineers, who are responsible for maintaining and managing data pipelines, to senior data engineers, who oversee the design, implementation, and maintenance of the entire data infrastructure. In addition, there are numerous high-paying jobs available in the field of data engineering, such as data engineering managers, data architects, and analytics consultants.
Data engineering is a field that requires a wide range of skills, from software engineering and data science to cloud computing and machine learning. As such, those looking for a career in the field should possess a solid technical background and have the ability to think logically and strategically. An understanding of data-driven processes and their application within an organization is essential, as is the ability to work with a variety of technologies, such as Apache Hadoop, Apache Spark, and Apache Kafka.
Data engineers should highlight their technical skills and experience related to data pipelines, data infrastructure, software engineering principles, database and data warehousing architectures, and programming languages such as SQL, Java, and Python. They should also include certifications, courses, and trainings that demonstrate their competency in these areas, as well as any relevant experience they have with big data tech. A portfolio of completed projects is also a great way to demonstrate their abilities and show potential employers what they are capable of.
Key Takeaways for an Data Engineering resume
Having a well-crafted resume is the key to landing the job of your dreams. When it comes to Data Engineering, your resume must capture the attention of potential employers and highlight the skills and experience you have to offer. Here are some key takeaways to consider when writing a Data Engineering resume:
- Highlight your technical abilities. A Data Engineer’s job is to analyze, transform and manipulate data using programming languages and algorithms. Therefore, it is essential to include technical skills, such as SQL, Python, Apache Spark, Hadoop and NoSQL databases, in your resume.
- Showcase your experience. List experience relevant to the job you are applying for and demonstrate the value you brought to previous employers.
- Focus on the impact. Showcase your accomplishments and the impact of your work. Include any projects you have managed, the challenges you have overcome and any successes you have achieved.
- Demonstrate your problem-solving skills. Employers are looking for Data Engineers who can troubleshoot efficiently and effectively. Be sure to highlight your problem-solving skills and any instances where you have solved issues in a timely and efficient manner.
- Showcase your data analysis expertise. Employers are looking for Data Engineers who can interpret data, identify patterns, and draw meaningful insights. Be sure to highlight your data analysis capabilities, such as your experience in data visualization, machine learning and predictive analytics.
By following the above tips, you can craft an effective resume that will help you stand out from the competition and secure a rewarding Data Engineering role.
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