Data Engineer / Analyst (Coupa DataGuru Databricks): INTL

A fortune 100 client is seeking to increase their team in India by 2. They are seeking hands-on data engineer to support the refactoring and migration of existing data transformations built in the Coupa Data Guru tool into Databricks. This role will focus on translating legacy ETL logic, complex mappings, and data preparation workflows into scalable, well-governed Databricks pipelines.


Key Responsibilities
Analyze and reverse engineer existing Coupa Data Guru transformations and mappingsengineer existing
Rebuild and optimize equivalent transformations in Databricks (SQL / PySpark)
Validate outputs to ensure parity with legacy Data Guru-produced datasets
Collaborate with data modelers, analysts, and SMEs to clarify business logic and data rules
Support data quality checks, reconciliation, and documentation during migration
Contribute to the decommissioning of Data Guru-dependent flows as part of platform transition

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Required Skills & Experience

Strong experience with Databricks (Spark SQL, PySpark)
Solid background in data transformation, ETL/ELT, and refactoring legacy logic
Ability to interpret and translate transformations from low/nocode ETL tools
Experience working with complex relational datasets and largescale tables, applying data quality and related business rules.
Experience with supply chain processes or systems, manufacturing systems, ERP systems, systems of record, master data, record-to-planning, or optimization modelling data.
Ability to generate test scripts that automate error detection through comparison of new outputs and legacy data.


Nice to Have Skills & Experience

Prior exposure to Coupa / Data Guru / Supply Chain Guru environments
Experience supporting data platform migrations or legacy tool sunset initiatives
Knowledge of data governance, reconciliation, and validation practices in enterprise environments
Advance data profiling and AI code generation skills that help speed up the coding process, where they can add value.


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.