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Job Location: Delhi / NCR
The role will be part of an offshore research and analytics team working for a global investment banking client. The team provides evidence-based research and analytics to client equity analysts to inform investment debates.
As a Data Engineer, you will be expected to:
- Interact with clients to understand their business objectives and existing data architecture, and accordingly devise sustainable and automated solutions to expedite data collection, storage/integration, quality assurance, accessibility and analysis
- Use a variety of technical skills and tools to produce ready-to-use forms to support clients data needs
- Deal with multiple types of datasets, yet provide structured approaches that can be leveraged across projects and answer clients objectives
- Focus on continuous efficiency improvements via automation of, but not limited to, web scraping robots, data quality check scripts, and analysis codes
Background:
- Graduate with an Engineering degree (preferably Computer Science) or a degree in Statistics/Math with advanced experience in coding or equivalent
- Post-graduation preferred, but not essential
- 5-8 years of relevant experience as a software developer, data engineer or data scientist with a track record of manipulating, processing and extracting value from large datasets
- At least 2-3 years of experience in dealing with international clients, and driving a data engineering and analytics solution from business needs identification to conceptualization to development to continuous improvement
- Experience working with or for an investment bank is a plus
Skills Needed:
- Extensive experience of working with and creating data architectures, and in dealing with both structured and unstructured datasets
- Extensive experience of creating automated solutions for data accessibility and analytics, and process efficiencies
- Well versed with creating systematic or programmatic data quality checks
- Well versed with programming in Python/R and SQL
- Familiar with web scraping
- Familiar with statistical models and data mining algorithms
- Experience working in an Agile environment and the use of JIRA a plus
- Experience of handling ETL tools and BI dashboards such as QlikView/Tableau a plus
- Experience of handling Hadoop data lakes a plus
- Excellent written and verbal communication for extensive client engagement
Role and Responsibilities:
- Understanding client objective and managing client expectations across all projects in a multi-shore team model
- Working with client and/or offshore teams to create algorithms for (1) data collection, (2) data storage, (3) data quality checks, (4) data accessibility, and (5) preferably data analytics
- Independently working with client to scope and deliver on projects, or as part of larger team, as required
- Align requirements on different work streams and tasks assigned by the client, as part of a larger team
- Independently lead or contribute to client calls
- Assist other client/internal teams, based on specific skill/insights requirements
- Independently conceptualize, organize and conduct skill-based internal training sessions (Python, data engineering, automation, statistical analysis, etc.) to cultivate an internal culture of efficiency improvements and faster and more robust execution
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