Job Description
Responsibilities
Design, develop, and maintain scalable ETL pipelines.
Extract, transform, and load data from multiple data sources.
Optimize SQL queries and improve data processing performance.
Collaborate with Data Analysts and stakeholders to support reporting needs.
Ensure data quality, integrity, and reliability.
Document data pipelines and engineering processes.
Qualifications
Minimum Qualifications:
Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.
2–3 years of professional experience as a Data Engineer or similar role.
Hands-on experience with ETL processes and data pipeline development.
Strong programming skills in Python.
Solid experience with SQL and relational databases.
Understanding of data warehousing concepts and data modeling.
Ability to work with structured and semi-structured data.
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Design, develop, and maintain scalable ETL pipelines.
Extract, transform, and load data from multiple data sources.
Optimize SQL queries and improve data processing performance.
Collaborate with Data Analysts and stakeholders to support reporting needs.
Ensure data quality, integrity, and reliability.
Document data pipelines and engineering processes.
Qualifications
Minimum Qualifications:
Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.
2–3 years of professional experience as a Data Engineer or similar role.
Hands-on experience with ETL processes and data pipeline development.
Strong programming skills in Python.
Solid experience with SQL and relational databases.
Understanding of data warehousing concepts and data modeling.
Ability to work with structured and semi-structured data.
Show more Show less
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