Role Summary
We are looking for a Junior Data Engineer to join our Data & Analytics team. This role is ideal for someone early in their career who is eager to learn contribute and grow into a strong data engineering professional. The successful candidate will have strong skills in SQL and Python be familiar with ETL concepts and have the ability to work with stored procedures in SQL Server. Exposure to Snowflake and Tableau is a plus. Experience in AI/ML concepts or projects will also be considered a plus.
Key Responsibilities
- Develop optimize and maintain SQL Server stored procedures views and queries.
- Design build and maintain ETL/ELT pipelines to move and transform data from multiple sources.
- Write and maintain Python scripts for data wrangling automation and reporting.
- Ensure data quality integrity and consistency across platforms.
- Collaborate with analysts and business stakeholders to analyze and interpret data.
- Assist in data warehouse development and pipeline optimization within Snowflake.
- Document technical processes workflows and best practices.
Qualifications
- Bachelors degree in Computer Science Information Systems Data Analytics or equivalent experience.
- Strong proficiency in SQL with the ability to write and troubleshoot complex queries.
- Hands-on experience with Python for data processing and automation.
- Skilled in ETL concepts data modeling and data management best practices.
- Knowledge of SQL Server stored procedures and optimization techniques.
- Familiarity with Snowflake or other cloud-based data warehouses (a plus).
- Experience with Tableau or other BI tools (a plus).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
Preferred Skills
- Exposure to cloud platforms such as AWS Azure or GCP.
- Experience with Git or other version control systems.
- Exposure to AI/ML concepts frameworks or projects (a plus).
- Understanding of data governance and documentation best practices.
Role Summary We are looking for a Junior Data Engineer to join our Data & Analytics team. This role is ideal for someone early in their career who is eager to learn contribute and grow into a strong data engineering professional. The successful candidate will have strong skills in SQL and Python ...
Role Summary
We are looking for a Junior Data Engineer to join our Data & Analytics team. This role is ideal for someone early in their career who is eager to learn contribute and grow into a strong data engineering professional. The successful candidate will have strong skills in SQL and Python be familiar with ETL concepts and have the ability to work with stored procedures in SQL Server. Exposure to Snowflake and Tableau is a plus. Experience in AI/ML concepts or projects will also be considered a plus.
Key Responsibilities
- Develop optimize and maintain SQL Server stored procedures views and queries.
- Design build and maintain ETL/ELT pipelines to move and transform data from multiple sources.
- Write and maintain Python scripts for data wrangling automation and reporting.
- Ensure data quality integrity and consistency across platforms.
- Collaborate with analysts and business stakeholders to analyze and interpret data.
- Assist in data warehouse development and pipeline optimization within Snowflake.
- Document technical processes workflows and best practices.
Qualifications
- Bachelors degree in Computer Science Information Systems Data Analytics or equivalent experience.
- Strong proficiency in SQL with the ability to write and troubleshoot complex queries.
- Hands-on experience with Python for data processing and automation.
- Skilled in ETL concepts data modeling and data management best practices.
- Knowledge of SQL Server stored procedures and optimization techniques.
- Familiarity with Snowflake or other cloud-based data warehouses (a plus).
- Experience with Tableau or other BI tools (a plus).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
Preferred Skills
- Exposure to cloud platforms such as AWS Azure or GCP.
- Experience with Git or other version control systems.
- Exposure to AI/ML concepts frameworks or projects (a plus).
- Understanding of data governance and documentation best practices.
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