Senior Data Engineer
4 weeks ago
Role Description:
Data engineering role requires creating and managing technological infrastructure of a data platform, be in-charge / involved in architecting, building, and managing data flows / pipelines and construct data storages (noSQL, SQL), tools to work with big data, and integration tools to connect sources or other databases.
Role Responsibility:
• Translate functional specifications and change requests into technical specifications
• Translate business requirement document, functional specification, and technical specification to related coding
• Develop efficient code with unit testing and code documentation
• Ensuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solving
• Setting up the development environment and configuration of the development tools
• Communicate with all the project stakeholders on the project status
• Manage, monitor, and ensure the security and privacy of data to satisfy business needs
• Contribute to the automation of modules, wherever required
• To be proficient in written, verbal and presentation communication (English)
• Co-ordinating with the UAT team
Role Requirement:
• Proficient in basic and advanced DBT-SQL programming concepts (Procedures, Analytical functions etc.)
• Good Knowledge and Understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions etc.)
• Knowledgeable in Shell / PowerShell scripting
• Knowledgeable in relational databases, nonrelational databases, data streams, and file stores
• Knowledgeable in performance tuning and optimization
• Experience in Data Profiling and Data validation
• Experience in requirements gathering and documentation processes and performing unit testing
• Understanding and Implementing QA and various testing process in the project
• Knowledge in any BI tools will be an added advantage
• Sound aptitude, outstanding logical reasoning, and analytical skills
• Willingness to learn and take initiatives
• Ability to adapt to fast-paced Agile environment
Additional Requirement:
• Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Snowflake, ensure the effective transformation and load data from diverse sources into data warehouse or data lake.
• Implement and manage data models in DBT, guarantee accurate data transformation and alignment with business needs.
• Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting.
• Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance.
• Establish best DBT processes to improve performance, scalability, and reliability.
• Expertise in SQL and a strong understanding of Data Warehouse concepts and Modern Data Architectures.
• Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP).
• Migrate legacy transformation code into modular DBT data models.
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