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Popular mid-level data role in metro Pune with broad required skills and known financial brand, driving high competition.
Core data engineering skills are transferable, but buy-side financial domain familiarity is preferred.
Multiple mandatory technologies (Snowflake, .NET, Python, Data Vault, Azure) plus explicit 3+ years increases filtering strictness.
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Develop, implement, and maintain automated data pipelines and data stores in Snowflake including design, testing, debugging, and deployment.
Build reusable, metadata-driven solutions and automate testing and deployment in Snowflake on Azure cloud.
Partner with business analysts to groom and implement user stories, working in an agile team environment to quickly iterate and release solutions.
Bachelor's degree in Computer Science, MIS or related field.
Minimum 3+ years of relevant work experience in data engineering or related roles.
Proficient in .NET, C#, Python, node.js, and SQL databases including Snowflake.
Experience with Data Vault 2.0 or Dimensional Data Modeling, ELT/ETL pipelines, and Azure cloud services.
Strong technical expertise in Snowflake data platform and automating CI/CD pipelines in Azure environment.
Experience working in agile teams using Scrum or Kanban methodologies with ability to collaborate with business analysts and end-users.
Familiarity with buy-side financial operations and related concepts such as Portfolio Management, Risk, Compliance, Accounting is preferred for better domain fit.