At a Glance
- Tasks: Develop and optimise data integration solutions using Oracle Data Integrator.
- Company: Join a forward-thinking tech company focused on data analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Fast-paced environment with great potential for career advancement.
- Why this job: Make an impact in data analytics while working with cutting-edge technologies.
- Qualifications: Experience with ODI, SQL, and a passion for data-driven solutions.
The predicted salary is between 45000 - 60000 £ per year.
Responsibilities:
- Exposure to OLAP, OLTP, Data Warehouse, Data Marts development, data stores to facilitate data analytics and insights.
- Experience in developing Fact and Dimension tables using ODI.
- Explicit working knowledge on SCD types.
- Ability to design and develop Mappings, Reusable mappings, Packages, Procedures, Load plans, User functions, Variables and Sequences in ODI 12c.
- Configure Physical and Logical topologies as per requirement for all the technologies and experience on Context creation and mapping.
- Knowledge on ODI master and work repositories and experience on ETL control tables, error logging, auditing, data quality.
- Build data integration and transformation routines from source systems to target stores using ODI 12C.
- Experience on Batch/Real-time integrations using ODI.
- Must be well versed and hands-on in using and customizing knowledge modules (KM).
- Monitoring Operator and exposure on Agents.
- Strong SQL/PL SQL expertise and Oracle Golden Gate exposure would be an advantage.
- Oracle and SQL server database experience.
- Experience in high data volume environments.
- Strong Database experience working on understanding cost of queries/optimization of queries.
Your Profile:
Essential skills/knowledge/experience:
- Oracle Data Integrator.
- Proficient to analyse, design, build, test and implement enhancements to existing systems and/or new applications.
- Experience with SQL and SQL Scripting.
- Understanding technical specifications for ETL.
- Ability to work in an agile environment with the ability to pick and learn new data tools very quickly.
- Ability to effectively prioritise and execute tasks in a fast-paced environment.
ODI Developer in Leeds employer: Vallum Associates
As an ODI Developer at our company, you will thrive in a dynamic and innovative work culture that prioritises employee growth and development. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, all set in a vibrant location that fosters collaboration and creativity. Join us to be part of a team that values your contributions and supports your career aspirations in the ever-evolving field of data integration.
StudySmarter Expert Advice🤫
We think this is how you could land ODI Developer in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vallum Associates!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vallum Associates.
✨Apply Directly through Our Website
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We think you need these skills to ace ODI Developer in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vallum Associates, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vallum Associates. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vallum Associates
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vallum Associates!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
