Analytical Engineer Intern
Discover Dollar
Bengaluru, Karnataka, India
Posted on Oct 20, 2024
Position Summary
As an Analytical Engineer Intern, you will be working closely with our Data Engineering and Data Science teams to design, build and optimize data pipelines and analytics tools. You will help turn raw data into actionable insights that drive business decisions, reporting, and analysis.
Key Responsibilities
As an Analytical Engineer Intern, you will be working closely with our Data Engineering and Data Science teams to design, build and optimize data pipelines and analytics tools. You will help turn raw data into actionable insights that drive business decisions, reporting, and analysis.
Key Responsibilities
- Assist in the development, deployment and maintenance of data pipelines and workflows for analytics purposes.
- Collaborate with Data Engineers and Analysts to design and implement efficient ETL processes.
- Work with data validation tools to ensure accuracy and reliability of data across different systems.
- Optimize data workflows and ensure efficient data retrieval for reporting and analysis.
- Support data quality efforts by identifying inconsistencies and addressing data integrity issues.
- Collaborate with cross-functional teams to identify data needs and provide support for analytics initiatives.
- Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Strong SQL and Python skills and an understanding of data modeling and relational databases.
- Exposure to data processing frameworks like Apache Spark, pandas, or similar.
- Basic understanding of data warehousing concepts (e.g., Star/Snowflake Schema).
- Knowledge of Python, Py spark, or scala languages used for data analytics.
- Problem-solving mindset and strong attention to detail.
- Excellent communication and teamwork skills.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with data version control and data validation tools.
- Basic knowledge of machine learning concepts and statistical analysis.
