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Senior specialized data-platform role at a known financial firm in Hyderabad reduces applicant density.
Core data engineering skills transferable, but financial domain knowledge preferable.
Requires hands-on cloud data platform, SQL, and data-quality engineering, imposing strict technical filters.
Translate business outcomes into technical requirements and decompose epics/features into engineering-ready user stories with acceptance criteria.
Act as technical liaison between product and engineering, participate in solution design, architecture review, and validate implementation including data models, APIs, pipelines, and cloud infrastructure.
Contribute hands-on with data analysis, SQL, schema definitions, data quality checks, automation of validation, and support delivery excellence through technical documentation and process improvements.
Strong hands-on experience with SQL and data analysis on large datasets.
Familiarity with cloud data platforms (AWS, Azure, or GCP) and modern data architectures like Data Lakes, ELT/ETL, streaming or batch processing.
Experience working within Agile/DevOps environments supporting product backlogs, user stories and technical delivery.
Work Experience Required: Not explicitly mentioned in the JD; In-office requirement: minimum 3 days/week in office (specific to India location).
Technical product analyst with strong depth in data engineering or analytics, capable of bridging product and engineering teams for cloud data platform projects.
Experience with data quality frameworks, automation/orchestration, and CI/CD pipelines within modern data teams preferred.
Skilled in collaborative environments demanding clear technical communication and detailed documentation to reduce delivery ambiguity and risk.