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Data Engineer
2 months ago
Revised Job Description
Job Title: Data Engineer(Azure)
Location: Remote
Experience: 4-6 Years
Salary: Competitive, based on experience
Primary Skills (Must Have):
- SQL Expertise (to build and maintain data models)
- Data Modeling: Strong understanding of data structures, common algorithms, and end-to-end data flow from ingestion to exploitation
- Azure Databricks and Azure Data Lake Storage
- Azure Data Factory for orchestrating pipelines
- Proficiency in Azure Data Engineering Platform
- Python (nice to have)
Secondary Skills (Good to Have):
- SAP data experience
- API Ingestion Team experience (not required for the PIM team)
Job Description:
Recro is seeking a Data Engineer to join. We are looking for candidates who can start immediately or have a notice period of up to 15 days, as we have urgent project requirements. You'll work on cutting-edge data engineering projects, collaborating with cross-functional teams to create robust data solutions.
Key Responsibilities:
- Build and maintain information model objects (PO, Invoice, SES, RO, Vendor, etc.) based on functional design
- Conduct technical and functional validation of information model objects
- Troubleshoot code issues and implement fixes
- Support daily data loads from SAP and non-SAP systems into the information model
Qualifications:
- Bachelor's degree in Computer Science or related field
- 4-6 years of experience in data engineering, software engineering, or data analyst/data science role
- Strong SQL and Python skills for data analytics
- Experience with Azure Databricks and Azure Data Lake Storage
- Proven ability to build and maintain data models
- Strong problem-solving and communication skills
Benefits:
- Competitive salary based on experience
- Exciting and challenging projects
- Collaborative work environment
- Career growth opportunities
Notice Period: Immediate joiners or candidates with a notice period of up to 15 days are preferred
Note: This revised job description aligns more closely with the specified primary and secondary skills, while maintaining the overall structure and tone of the original. It also highlights the specific responsibilities and qualifications required for a Data Engineer role.