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Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and data products.
- Build and optimize data architectures supporting analytics, reporting, and operational use cases.
- Implement robust data management practices including data governance, quality, lineage, and metadata management.
- Collaborate with business stakeholders to translate requirements into reliable and high-performance data solutions.
- Ensure data integrity, security, and compliance across platforms.
- Support cloud-based data environments and modern data platforms.
- Drive performance tuning, monitoring, and continuous improvement of data systems.
Required Qualifications:
- Proven hands-on experience in Data Engineering, Data Product development, or Data Management.
- Strong expertise in SQL and data modeling (star/snowflake schemas).
- Experience with ETL/ELT processes and data pipeline development.
- Familiarity with cloud data platforms (Azure, AWS, or GCP).
- Experience with data governance, data quality frameworks, and metadata management.
- Ability to work in Agile/Scrum environments.
Preferred Skills:
- Experience with big data technologies (e.g., Spark, Databricks).
- Knowledge of data warehousing and modern data architecture principles.
- Exposure to BI/analytics tools.
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