Lead/ Senior Business Data Modeller Engineer_ Exp: 8+ Years

Mployee.me; Pune District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Mployee.me in Pune, Maharashtra, India seeks a data analytics specialist focused on hands-on data analysis, modelling, and data quality. The role emphasizes strong SQL skills, translating business data requirements into BRDs/FRDs and epics, and shaping data products across modern cloud platforms.

The ideal candidate will drive data lineage, backlogs, and agile ceremonies, delivering robust data solutions and clear acceptance criteria for features and stories that impact banking/data domains.

Qualifications

• Hands-on data analysis and modelling capability is essential.
• Strong SQL proficiency for profiling, reconciliation and root-cause analysis.
• Translate business and data requirements into BRDs/FRDs, epics, features and user stories with clear acceptance criteria.
• Experience defining data quality rules and understanding data lineage.
• Hands-on with Data Products shaping underlying data across Snowflake/Databricks and cloud ecosystems.

Responsibilities

• Translate business and data requirements into BRDs/FRDs, epics, capabilities and user stories with acceptance criteria.
• Shape data products by working hands-on with underlying data.
• Engage in backlog refinement and agile ceremonies, Definition of Ready/Done, testing and defect triage.
• Define source-to-target mappings and transformation rules across complex data landscapes.

Skills

SQL proficiency

Data modelling

BRD FRD authoring

Data profiling

Root cause analysis

Data quality rules

Data lineage

Data products

Cloud data platforms

Tools

Snowflake

Databricks

Job description

Job Description :

• Strong banking/domain knowledge is valuable, but hands-on data analysis and modelling capability is the key discriminator.
• Demonstrable SQL proficiency for data profiling, reconciliation, investigation, and root-cause analysis.
• Able to translate business and data requirements into BRDs/FRDs, epics, capabilities, features, user stories and clear acceptance criteria.
• Strong conceptual and logical data modelling skills, including entities, relationships, and business definitions.
• Experience with source-to-target mapping and transformation rules across complex data landscapes.

Desired Skills -

• Practical experience defining Data Quality rules, identifying exceptions, and driving remediation
• Strong understanding of data lineage and authoritative source identification.
• Evidence of working hands-on with Data Products, shaping the underlying data rather than primarily managing the backlog.
• Comfortable with backlog refinement, feature mapping, PI/Agile ceremonies, Definition of Ready/Done, testing and defect triage.

Exposure to modern data platforms such as Snowflake / Databricks / cloud data ecosystems is highly desirable