
Lead Engineer - Investment Data Platform
- Pune, Maharashtra
- Permanent
- Full-time
- Contributing to the delivery of software that delivers a business outcome and is designed, implemented and tested to the team’s standards as per the SDLC for the Data Platform.
- Providing a quality service and product to customers and stakeholders, further developing skills built through significant practical experience or training.
- Understanding and following data engineering best practise.
- Offering peer review and challenge within the team, to ensure that the most appropriate solution is delivered.
- Demonstrate a strong sense of product ownership and commitment to build scalable / extensible / robust software/data platform.
- Working within established frameworks and procedures, with the freedom to interpret them to solve a range of problems.
- Delivering outcomes that are clearly defined, using discretion over how to achieve them.
- Contributing to team improvement discussions.
- Participating in the development of complete solutions to the end consumer, being part of a cross functional team comprising of requirements gathering, data modelling, data integration, software engineering, testing and release oversight.
- Maintaining strong relationships within the team, key stakeholders across the business and other teams across Asset Management Technology & Change.
- Demonstrate software engineering skills with experience in SQL, C# and the .Net Framework
- Working with data on Azure including SQL and no-sql DBs and Azure Data factory pipelines
- Working with some of the following programming and scripting languages: SQL, Python, Java, PowerShell, JavaScript.
- A good understanding of DevOps principles and experience in building CI/CD pipeline.
- Knowledge of software patterns and principles.
- Proactively manage own workload across multiple parallel initiatives.
- Data exploration and analytical skills, that enable you to solve new problems and understand existing software through investigation.
- Experience in dealing with large data sets and how to analyse them.
- Good interpersonal skills, with the ability to communicate clearly and effectively, both written and orally, within a project team.
- Experience to financial markets & asset management processes and understand analysis into a wide variety of asset classes and associated analytics (e.g. Equity, Fixed Income, Private Assets etc.)
- Experience in using Databricks for data ingestion or transformation.
- Experience in Snowflake.
- 8+ years of total experience in software engineering.
- 4+ years of latest/recent experience in a data engineering role.
- Experience of contributing to the delivery of software in a team that utilises Azure PaaS technologies, security and delivery via Azure DevOps.
- Some experience of API gateways such as Apigee or Azure API Management.
- Experience of delivering change using Agile methodologies.
- Foundational understanding of the components of Investment Data (Transactions, Positions, Instrument T&Cs, etc)
- Graduate in any discipline.