At a Glance
- Tasks: Join our team to design and implement data solutions using SQL and Python.
- Company: Cognizant, a leader in Intelligent Process Automation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with mentorship opportunities and career advancement.
- Why this job: Make an impact by solving complex data challenges in a dynamic environment.
- Qualifications: Experience with SQL, Python, and cloud platforms like Azure or AWS.
The predicted salary is between 50000 - 70000 £ per year.
Excellent opportunity for Data Engineers to be part of Cognizant’s Intelligent Process Automation practice. It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps.
Key Responsibilities:
- Gather business requirements, perform detailed analysis, and produce associated functional specifications across multiple functions.
- Architect, design, cost and plan solutions that will support delivery teams as those solutions are implemented into live services.
- Writing SQL or Python/R scripts to analyse data.
- Develop Subject Matter Expertise on the key data elements.
- Responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in co-ordination with the Technology team.
- Ensuring proper development life cycle is followed with artefacts to support Internal Audit and any inquiries.
- Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards and recommends solutions.
- Support systems change processes from requirements through implementation and provide input based on analysis of information.
- Consult with business clients to determine system functional specifications and provides user and operational support.
- Identify and communicate risks and impacts, considering business implications of the application of technology to the current business environment.
- Has the ability to operate with a limited level of direct supervision.
- Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail.
- Work with Data Governance and Quality teams to understand data issues.
- Work with various technology leads to ensure the gaps in the data completeness or accuracy are converted into prioritized Book of Work items.
- Provide regular updates to senior management in technology, middle office & front office.
- Training of relevant teams prior to go-live of new business processes/products, functionality or applications.
- Go-live support, investigation of issues.
Essential Experience:
- Providing database engineering and data delivery to support during application development, working closely with application teams.
- Data Engineering to ingest, cleanse and collate data from a wide range of internal and external sources.
- Creation of reconciliations of data sets.
- Building analytical models to support reporting and analytics.
- Creation of reports and analytics.
- Experience facilitating workshops and discussions to effectively gather requirements and understand the client’s business challenges.
- Able to produce proposed implementation plans for data analysis work, including estimated effort and technical implications of data insight products.
- Able to review and comment on data models – for example pointing out why models are defective and suggesting improvements.
- Clear written and verbal communications; able to communicate with a wide range of people.
- Strong leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practice.
- Line management experience - able to give feedback and mentor more junior colleagues.
Qualifications:
- Experience working with Azure, AWS or Google Cloud.
- Experienced in IT architecture and software development lifecycles.
- Experienced with structured and unstructured data.
- Experience in combining qualitative and quantitative datasets.
- Experienced in either programming languages such as Python and/or R, data visualization tools such as Tableau.
- Experience working with large datasets.
- Experience in creation of B/FRDs – Good documentation and communication with the technology team both to provide requirements and understanding of any issues is paramount.
- Relevant experience in data-related topics - data warehousing, data governance, data quality, data profiling, master data management, ETL etc.
- Data modelling, from contextual through to logical and physical modelling skills.
- Very strong Excel, SQL, Python, JIRA skills.
- Excellent communication skills, structured and organized.
- Excellent stakeholder and management reporting skills.
- Experience with project planning and tracking, including agile software i.e. JIRA.
SQL Data Engineer - BIG DATA in London employer: Cognizant
Cognizant is an exceptional employer for SQL Data Engineers, offering a dynamic work environment that fosters innovation and collaboration within its Intelligent Process Automation practice. Employees benefit from comprehensive training opportunities, a strong focus on professional development, and the chance to work with cutting-edge technologies in a supportive culture that values data-driven decision-making. Located in a vibrant area, Cognizant provides a unique opportunity to engage with diverse teams and clients, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Engineer - BIG DATA in London
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We think you need these skills to ace SQL Data Engineer - BIG DATA in London
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 Cognizant, 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 Cognizant. 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 Cognizant
✨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!
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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 Cognizant!
✨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.
