Job Description

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

• Bachelor's 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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