We are seeking a highly motivated and talented Junior Data Engineer to join our dynamic team. As a Junior Data Engineer, you will play a critical role in designing, implementing, and maintaining data pipelines to support our data processing and analytics needs. This is an excellent opportunity for a recent graduate who is passionate about Data Engineering and eager to learn and grow in a collaborative environment.
Responsibilities :
- Design, develop, and maintain data pipelines to extract, transform, and load data from various sources using Python and Apache Airflow.
- Collaborate with cross-functional teams to understand data requirements and implement solutions to address business needs.
- Perform data cleaning, manipulation, analysis using Python libraries such as Pandas.
- Write and optimize SQL queries to query and manipulate data in relational databases.
- Create and maintain documentation for data pipelines, processes, and procedures.
- Monitor and troubleshoot data pipeline performance issues, ensuring data integrity and reliability.
Bachelor's degree in Computer Science, Engineering, or a related field.
Having 0 - 2 years work experience in related field
Proficiency in Python programming language.
Basic understanding of data manipulation and analysis techniques.
Familiarity with SQL for querying and manipulating relational databases.
Basic understanding of data pipeline concepts and workflows.
Knowledge of Apache Airflow or willingness to learn.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork skills.
Preferred Qualifications :
- Experience with version control systems such as Git.
- Familiarity with cloud platforms such as GCP.
- Knowledge of big data technologies such as Hadoop and Spark.
- Experience with containerization technologies such as Docker.
- Eagerness to learn and adapt to new technologies and tools in the field of Data Engineering.