Data Engineer
2 weeks ago
SK Finance Ltd is seeking a highly skilled Data Engineer to spearhead data infrastructure initiatives and ensure robust pipelines and optimized solutions.
Key Responsibilities:
- Design and develop end-to-end ETL processes, including table creation, to ensure data integrity and security.
- Employ Azure Data Factory for orchestrating complex data workflows and SQL Studio and SSIS services for seamless integration, transformation, and loading.
- Craft intricate SQL Queries and implement performance optimizations to support diverse analytical needs.
- Leverage Python, Py Spark, and Big Data Querying methodologies for advanced data processing, analysis, and manipulation.
- Implement rigorous data quality checks and enforce data governance practices to maintain high-quality data standards.
- Utilize advanced Excel capabilities for sophisticated data analysis, visualization, and reporting.
Requirements:
- Minimum 3 to 5 years of experience as a Data Engineer.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proficiency in SQL, Python, and advanced Excel.
- Extensive experience with Azure Data Factory, SQL Studio, and SSIS services.
- Strong expertise in ETL processes, table creation, and web data scripting.
- Mastery in managing diverse databases, including PostgreSQL, MongoDB, and NoSQL systems.
- Advanced skills in crafting and optimizing complex SQL queries and pipelines.
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