Job Overview

We are seeking a motivated and detail-oriented Junior Data Engineer to join our India-based analytics team supporting the Channel Business Unit. This early-career role is designed for someone with a strong technical foundation who is eager to build practical experience in data engineering, Databricks, SQL, Python, data quality, and BI-ready data product development.
This role will support the development and maintenance of curated datasets, reporting tables, reusable data products, and data pipelines that enable faster and more reliable BI delivery across Channel BU. The Junior Data Engineer will work closely with senior data engineers, BI analysts, data product owners, governance teams, and business stakeholders to help prepare accurate, well-structured, and trusted data for dashboards, self-service analytics, and business performance reporting.

Roles & Responsibility:

Desired Candidate Profile:

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field.
• 0-3 years of experience in Data Engineering, BI, Analytics, Data Warehousing, or Software Development.
• Strong knowledge of SQL, including joins, aggregations, filtering, and data validation.
• Basic experience with Python for data processing, automation, or analytics.
• Working knowledge of Git and version control.
• Exposure to Databricks, cloud platforms, data warehouses, or analytics tools through work, projects, certifications, or internships.
• Understanding of data modeling concepts including fact tables, dimensions, keys, views, and reporting datasets.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience through internships, projects, or work with SQL, Python, Databricks, AWS, Redshift, Power BI, Tableau, or ETL processes.
• Databricks certification or related training.
• Exposure to AWS services and cloud data warehouses.
• Familiarity with PySpark and distributed data processing.
• Experience supporting reporting, dashboards, and data quality initiatives.
• Knowledge of commercial, sales, supply chain, inventory, marketing, or customer data domains.
• Master's degree is an advantage.

Skills & Competencies

Technical Learning

• Eagerness to learn modern data engineering tools and cloud technologies.

SQL & Python

• Ability to develop SQL queries and use Python for data transformation and automation.

Databricks & Cloud Platforms

• Interest in building expertise in Databricks, AWS, and modern analytics environments.

Data Quality

• Focus on accuracy, validation, reconciliation, and issue resolution.

BI & Analytics Support

• Understanding of reusable datasets for Power BI, Tableau, and self-service analytics.

Collaboration

• Strong communication and teamwork skills with engineers, analysts, and business stakeholders.

Ownership

• Self-motivated, accountable, and willing to learn while managing assigned responsibilities.

Success Measures

Success in this role will be measured by the ability to:

• Build and maintain trusted datasets for reporting and analytics.
• Develop reliable SQL and Python solutions.
• Support Databricks-based data engineering activities.
• Follow Git and development best practices.
• Improve data quality, documentation, and reporting reliability.
• Communicate progress, risks, and issues effectively.
• Expand technical expertise in Databricks, SQL, Python, AWS, and BI technologies

Competencies