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Job Overview:
We are seeking a highly motivated Data Engineer Intern to join our dynamic team. This internship offers a unique opportunity to gain handson experience in a fastpaced environment while working on meaningful projects that have a real impact on our business.
Whats For The Candidate:
- Opportunities for professional development and career growth
- A collaborative and dynamic work environment
Responsibilities:
- Data Collection and Integration: Collaborate with crossfunctional teams to identify data sources collect raw data and integrate it into our data infrastructure
- Data Cleaning and Transformation: Perform data cleaning and transformation tasks to ensure data quality and consistency
- Database Management: Assist in the design development and maintenance of databases to support data storage and retrieval needs
- Data Modeling: Work with senior data engineers to design and implement data models that align with business requirements
- ETL (Extract Transform Load) Processes: Develop and optimize ETL processes to extract data from various sources transform it into usable formats and load it into data warehouses or other storage systems
- Data Visualization: Collaborate with analysts and data scientists to visualize data and create insightful reports and dashboards
- Documentation: Document data engineering processes workflows and best practices for future reference
- Technical Support: Provide technical support and troubleshooting assistance to internal stakeholders as needed
Qualifications:
- Pursuing a bachelors or masters degree in Computer Science Engineering Information Systems or a related field
- Strong programming skills in languages such as Python SQL or Java
- Familiarity with data manipulation and transformation tools (e.g. Pandas Apache Spark)
- Knowledge of database technologies (e.g. SQL databases NoSQL databases data warehouses)
- Understanding of ETL processes and tools
- Excellent problemsolving and analytical skills
- Strong communication and interpersonal skills
- Ability to work effectively both independently and as part of a team
- Prior internship or project experience in data engineering or related fields is a plus
Job Location: Remote/Hybrid/InOffice
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