Data Engineer
3 weeks ago
As a Data Engineer at Symphoni HR, you will play a crucial role in designing, developing, and maintaining robust data pipelines and data warehouses.
Key Responsibilities:
- Design, develop, and implement scalable data pipelines using Snowflake and other relevant tools to transform raw data into valuable insights.
- Extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into Snowflake data warehouses, ensuring data quality, consistency, and security.
- Optimize data pipelines for performance and efficiency, leveraging expertise in Snowflake and data warehousing concepts.
- Develop data models that effectively represent business requirements and facilitate data analysis, using strong scripting skills in Python and knowledge of SQL and data modeling techniques.
- Analyze data to identify trends, patterns, and anomalies, utilizing proficiency in ETL tools like Talend, Informatica, or SSIS.
Requirements:
- 6-10 years of experience in data engineering or a related field, with expertise in Snowflake and data warehousing concepts.
- Strong scripting skills in Python, knowledge of SQL and data modeling techniques, and familiarity with cloud platforms and cloud-based data services.
- Experience with big data technologies (e.g., Hadoop, Spark), data visualization tools (e.g., Tableau, Power BI), and data lake concepts and technologies.
Why Join Us:
Symphoni HR is a dynamic company seeking a skilled Data Engineer to join our team. If you possess a strong passion for data engineering and a commitment to delivering high-quality solutions, we encourage you to apply for this exciting opportunity.
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