Data Engineer/Analyst; Coupa DataGuru → Databricks): INTL
Listed on 2026-03-07
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Job Description
A fortune 100 client is seeking to increase their team in India by 2. They are seeking a 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 mappings‑engineer 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
- 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‑/no‑code ETL tools
- Experience working with complex relational datasets and large‑scale 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. 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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
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