
Data Engineer
Copeland
full-time
Posted on:
Location Type: Office
Location: Pune • India
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Tech Stack
About the role
- Assist in onboarding datasets to the enterprise data catalog and maintaining metadata accuracy.
- Support business users in discovering and understanding data through data catalog tools (e.g., Alation, Purview, Collibra).
- Help document business definitions, data owners, and usage guidelines.
- Participate in data literacy and enablement programs by creating documentation and job aids.
- Support data classification, tagging, and access governance activities.
- Help monitor data quality rules and report issues or anomalies.
- Work with data stewards and data owners to maintain governance standards.
- Assist in documenting data policies and compliance guidelines.
- Write basic scripts or SQL queries to support data profiling and metadata extraction.
- Support integration of metadata and governance tags into data pipelines.
- Help build dashboards and reports to track data enablement KPIs.
Requirements
- 3–5 years of experience in data management, data governance, or related fields.
- Basic understanding of data catalog, data quality, or metadata management concepts.
- Familiarity with SQL and scripting languages such as Python.
- Exposure to data tools like Power BI, Snowflake, Azure Data Services, or similar.
- Strong communication skills and willingness to work cross-functionally.
- Experience with any data catalog or governance tool (Alation, Collibra, Informatica, Purview, etc.) (Nice-to-Have).
- Knowledge of data privacy, data classification, or compliance frameworks (Nice-to-Have).
- Understanding of ETL pipelines, data warehousing, or business intelligence processes (Nice-to-Have).
Benefits
- Flexible and competitive benefits plans offer the right options to meet your individual/family needs.
- Paid parental leave (maternal and paternal).
- Vacation and holiday leave.
- Investment in employee development beginning at onboarding through senior leadership.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata managementdata governancedata qualitymetadata managementETL pipelinesdata warehousingbusiness intelligencedata profiling
Soft Skills
communicationcross-functional collaboration