Posted:1 month ago|
Platform:
Work from Office
Full Time
About the Role:
We are looking for Junior Data Engineers with 6+ months of hands-on experience in building and maintaining data pipelines. The ideal candidates should have a strong foundation in Python, SQL, and a basic understanding of cloud architecture and data engineering principles.
Key Responsibilities:
Assist in the design, development, and maintenance of data pipelines and ETL workflows.
Write efficient and optimized Python and SQL code for data extraction, transformation, and loading.
Work with teams to understand data requirements and support data integration tasks.
Ensure data quality, accuracy, and consistency across systems.
Apply basic knowledge of cloud platforms (e.g., AWS, Azure, or GCP) in day-to-day tasks.
Follow standard data engineering best practices and documentation processes.
Required Skills:
Proficiency in Python for data processing tasks.
Strong knowledge of SQL and relational databases.
Basic understanding of cloud architecture and services.
Familiarity with data engineering principles (e.g., ETL, data modeling, batch processing).
Good problem-solving skills and attention to detail.
Ability to work independently in a remote environment.
Exponentia Team
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