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Data Engineer
DuckerFrontier
posted 2hr ago
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Job Description
Ducker Carlisle is a leader in research/ analytics, consulting and insights in the aftersales space. We use data driven analyses to address the needs of many of the world s largest companies. Data Engineers play an integral role within our project teams. Data Engineers are responsible for devising data collection engines to build proprietary data assets, building end-to-end data pipelines, feature engineering, designing data architectures to create normalized data lakes/warehouses, and harmonize/set up existing data assets within the firm for wider use by internal teams. As a Data Engineer at Ducker Carlisle, your work will be rigorous, but its impact will be evident. Even at the most junior level, you will have exposure to client facing opportunities. You can expect to learn, be challenged and be encouraged to grow and develop throughout your career.
Key responsibilities:
- Data mining and collection from multiple data sources in different formats (pdf, html webpage, excel etc.), data transformation / harmonization / quality checks, feature engineering, database creation, e2e data pipeline creation
- Working closely with project teams with data needs to meet project goals
- Advising on data architectures relevant to any analysis or analysis tool need
- Conducting simple analyses on datasets
- Authoring and synthesizing outputs into client deliverables in Excel or PowerPoint
Presenting findings to clients and to senior consulting staff
Minimum requirements:
- 2-4 years of relevant work experience
- A professional demeanor
- A Bachelor s and / or Master s in Computer Science, Analytics and Engineering (or similar programs heavy on learning programming and data mining tools)
- Certification in Data Analytics / Engineering from a top tier program
- Expertise with using data base tools SQL / NoSQL, using and managing AWS / Azure platforms and verve to learn new tools (such as Snowflake) as the need arises
- Familiarity with data visualization tools such as PowerBI / Tableau
- Outstanding analytical abilities
- Understanding business requirements and translating them to technical specifications
- Excellent communication skills both written and verbal
- Moderate skills with Microsoft Excel and PowerPoint
- Strong organizational, multi tasking, and time management skills
- Willingness and flexibility to work across global time zones and with multi-cultural teams
Please Note: In order to facilitate a healthy work-life balance and to build a strong ethos of team camaraderie, we offer a Hybrid work schedule to all our employees. We encourage all our staff to work from our Office in Bengaluru as often as is feasible; or at least 3 days a week.
Employment Type: Full Time, Permanent
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