V
Data Engineer
V
Data Engineer
Virtusa- Posted an hour ago
- Be among the first 10 applicants
Job Description
Job Requirements
Role : Data Engineer (Mid-Level)
Supply Chain & Procurement Data Platform
Position Summary
We are seeking a mid-level Data Engineer to design, build, and maintain robust data pipelines that power our supply chain and procurement analytics. You will own the end-to-end data lifecycle—from extracting data from complex ERP systems (SAP, Oracle) through transformation and governance, to enabling self-service analytics for stakeholders. This role bridges infrastructure engineering and data science, requiring both deep technical skills and the ability to translate business requirements into scalable data solutions.
Key Responsibilities
Design and implement ETL/ELT pipelines to ingest data from ERP systems (SAP, Oracle, Coupa), APIs, and relational databases
Develop and optimize SQL queries and data models for analytical workloads; ensure data quality and reliability through validation frameworks
Lead Hadoop-to-Snowflake migration initiatives, optimizing architecture for cost and performance
Own master data governance and establish data quality standards for supply chain, procurement, and inventory datasets
Build Python automation tools, including OCR-based document processing for procure-to-pay workflows
Collaborate with analytics teams to develop KPI and metrics frameworks; design Power BI and Looker dashboards
Conduct system-integration and architecture trade-off analysis for data platform modernization
Perform root-cause analysis on data pipeline failures and implement preventive solutions
Write and maintain technical documentation (BRD, FRD, FSD, MDD); define user stories and acceptance criteria
Partner with stakeholders on UAT planning, test-case design, and release readiness
Required Skills & Experience
Data Architecture & Engineering
Advanced SQL and relational database design (schema modeling, normalization, optimization)
ETL/ELT pipeline development and workflow orchestration
Data modeling, master-data governance, and lineage tracking
Query optimization and performance tuning
Experience with Hadoop ecosystems and cloud data warehouses (Snowflake preferred)
REST API and MCP design; system-integration architecture
Programming & Automation
Proficiency in Python (NumPy, Pandas, Scikit-Learn for data processing; Tesseract/OCR for automation)
Version control (Git) and CI/CD practices
Work Experience
5-7Years
Role : Data Engineer (Mid-Level)
Supply Chain & Procurement Data Platform
Position Summary
We are seeking a mid-level Data Engineer to design, build, and maintain robust data pipelines that power our supply chain and procurement analytics. You will own the end-to-end data lifecycle—from extracting data from complex ERP systems (SAP, Oracle) through transformation and governance, to enabling self-service analytics for stakeholders. This role bridges infrastructure engineering and data science, requiring both deep technical skills and the ability to translate business requirements into scalable data solutions.
Key Responsibilities
Design and implement ETL/ELT pipelines to ingest data from ERP systems (SAP, Oracle, Coupa), APIs, and relational databases
Develop and optimize SQL queries and data models for analytical workloads; ensure data quality and reliability through validation frameworks
Lead Hadoop-to-Snowflake migration initiatives, optimizing architecture for cost and performance
Own master data governance and establish data quality standards for supply chain, procurement, and inventory datasets
Build Python automation tools, including OCR-based document processing for procure-to-pay workflows
Collaborate with analytics teams to develop KPI and metrics frameworks; design Power BI and Looker dashboards
Conduct system-integration and architecture trade-off analysis for data platform modernization
Perform root-cause analysis on data pipeline failures and implement preventive solutions
Write and maintain technical documentation (BRD, FRD, FSD, MDD); define user stories and acceptance criteria
Partner with stakeholders on UAT planning, test-case design, and release readiness
Required Skills & Experience
Data Architecture & Engineering
Advanced SQL and relational database design (schema modeling, normalization, optimization)
ETL/ELT pipeline development and workflow orchestration
Data modeling, master-data governance, and lineage tracking
Query optimization and performance tuning
Experience with Hadoop ecosystems and cloud data warehouses (Snowflake preferred)
REST API and MCP design; system-integration architecture
Programming & Automation
Proficiency in Python (NumPy, Pandas, Scikit-Learn for data processing; Tesseract/OCR for automation)
Version control (Git) and CI/CD practices
Work Experience
5-7Years
More Info
Key Skills
Master-data governance
Schema modeling
Workflow orchestration
Scikit-Learn
Cloud data warehouses
Lineage tracking
Programming Automation
System-integration architecture
Tesseract OCR
Hadoop ecosystems
MCP design
ELT pipeline development
CI CD practices
Data Architecture Engineering
About Company
Skills:
SAS, Pyspark, Bmc, Informatica, Sql, Python, Airflow
Skills:
databricks, Sap Bw, Etl, Data Governance
Skills:
snowflake , CSS, Pyspark, PostgreSQL, Microsoft Office, HTML, React Js, MySQL, Databricks, Excel, Oracle, Python, Fast API
Skills:
BigQuery, Pyspark, Dataproc, Sql, Cloud Storage, Git, Terraform, DataFlow, Solution Architecture, Python, Airflow, Cloud Composer, CI/CD, Pub/Sub
Skills:
snowflake , Python, Sql, AWS, Etl, Airflow, Glue