Posted on: 22/08/2025
Job Description :
Key Responsibilities :
- Collaborate with business users to understand data requirements and translate them into technical solutions.
- Implement ETL processes, data integration workflows, and data models (including Data Vault).
- Optimize SQL queries and ensure data quality, consistency, and governance.
- Support data migration and modernization projects, ensuring minimal downtime and high accuracy.
- Provide leadership in planning, executing, and delivering data projects on time.
- Lead and mentor junior data engineers and guide them in best practices.
- Perform troubleshooting, root cause analysis, and performance tuning as needed.
- Work in Agile teams to plan and deliver sprint goals effectively.
Required Skills & Qualifications :
- Minimum 5 years of hands-on experience with Snowflake.
- Strong experience in ETL development, Data Warehousing, and Data Modeling.
- At least 2 years of experience with Data Vault modeling techniques.
- Strong command over SQL, PL/SQL, and RDBMS concepts.
- Domain expertise in one or more : Manufacturing, Supply Chain, Sales, or Finance.
- Ability to effectively communicate with business stakeholders and technical teams.
Good to Have :
- Experience with scripting languages like Python or PySpark.
- Prior experience in data migration or data platform modernization projects.
- Familiarity with CI/CD processes and data quality frameworks.
- Strong problem-solving and analytical skills.
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1533917
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