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Data Engineer
3 months ago
Job Description :
Responsibilities :
- Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
- 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
- Optimize and fine-tune data models, SQL queries, and transformations for performance and scalability.
- 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.
- 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 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.
- Stay updated on emerging trends and technologies in data engineering, cloud computing, and analytics domains.
Requirements :
- 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 the Snowflake data warehouse.
- Subject Matter Expert in 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.
(ref:hirist.tech)