01Responsibilities
- Assist in designing, developing, and maintaining scalable data pipelines and ETL processes to collect, process, and store structured and unstructured data from various sources.
- Collaborate with cross-functional teams including Data Scientists, Analysts, and Software Engineers to understand data requirements and implement solutions that meet business needs.
- Help in building and optimizing data models and databases for performance and scalability.
- Contribute to the development of data integration strategies and solutions to enable seamless data flow across different systems and platforms.
- Assist in monitoring and troubleshooting data pipeline issues to ensure data accuracy, integrity, and availability.
- Stay up-to-date with emerging technologies and best practices in data engineering and contribute ideas for process improvement and innovation.
Requirements
02Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- Robust programming skills in Python for data manipulation and scripting tasks.
- Familiarity with SQL and relational database concepts (e.g., MySQL, PostgreSQL).
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of data warehousing concepts and platforms, particularly Snowflake.
- Basic understanding of distributed computing frameworks (e.g., Hadoop, Spark).
- Excellent problem-solving and analytical abilities.
- Strong communication and collaboration skills. .
