Data Engineer
1 month ago
Job Summary:
We are seeking a highly skilled Data Engineer to join our team at Spigot Software. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and analytics solutions using DBT, Snowflake, and related technologies.
Key Responsibilities:
- Design and develop efficient data pipelines and analytics solutions using DBT, Snowflake, and related technologies.
- Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
- Develop and maintain scalable data models and transformations using DBT in conjunction with Snowflake.
- Integrate FiveTran connectors to streamline data ingestion from various sources into Snowflake.
- Develop custom Python scripts and functions to automate data workflows and enhance system capabilities.
- Provide technical expertise and support to resolve data-related issues and troubleshoot system failures.
- Collaborate with the API development team to integrate data pipelines with external systems and applications.
- Contribute to the development of web-based data visualization solutions and dashboards.
- Communicate with all project stakeholders on the project status.
- Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience of at least 5 years as a data engineer, ETL developer, or similar role, with a focus on DBT and Snowflake.
- Strong proficiency in SQL and database concepts, with hands-on experience in Snowflake data warehouse.
- Subject Matter expert of Data warehouse and Data Lake concepts (Dimensional Modelling, change data capture, slowly changing dimensions etc.).
- Proficiency in programming languages such as Python for data manipulation, automation, and scripting.
- Knowledgeable in relational databases, nonrelational databases, data pipelines (ELT/ETL), and file stores.
- Knowledgeable in performance tuning and optimization.
- Experience with cloud platforms like Azure and tools like Azure OCR for data extraction and processing.
- Familiarity with data integration tools like FiveTran.
- Knowledge of API development principles and experience integrating data pipelines with external systems.
- Proficient in written, verbal and presentation communication (English).
- Ability to work effectively in a fast-paced, collaborative environment and manage multiple priorities.
- Excellent analytical, problem-solving, and communication skills.
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