Associate Data Engineer

About the Role

As an Associate Data Engineer, you will become part of the growing Data Insights and Science Team. Working closely with experienced engineers, you will learn to employ modern technologies across cloud platforms to help brands deliver targeted retargeting, communication, and CRM strategies.

Key Responsibilities

• Assisting in identifying, collecting, and integrating data from various sources by building and maintaining reliable data pipelines and models for BI/analytics.
• Writing clean SQL and code (Python, Spark, etc.) to optimize data workflows under senior guidance.
• Helping monitor daily ETL flows and data quality tools.
• Assisting in troubleshooting, debugging, and resolving data pipeline incidents.
• Collaborating with CRM developers, data scientists, data analysts, and product owners to deliver high-quality data.
• Learning best practices in cloud data architecture, migrations, and data management.

Requirements & Tech Stack

• 0–2 years of experience (or a degree/bootcamp background) in data engineering, computer science, business intelligence, or a related quantitative field.
• Good foundational coding skills in Python, SQL, or Scala.
• Understanding of core data transformation (ETL/ELT) processes and relational databases.
• Basic exposure to cloud platforms (GCP, AWS, or Azure) and modern data stack tools (e.g., dbt, Airflow, BigQuery, or Snowflake) through projects, coursework, or internships.
• Familiarity with version control tools like GitHub/Git.
• Basic understanding of data quality management principles (cleansing, validation, profiling).
• Strong analytical skills and a desire to keep data organized and clean.
• Proficiency in English (written and verbal).

Qualifications

• Strong team-player mindset and an open attitude.
• Eagerness to learn, solve problems pragmatically, and continuously develop technical skillset.
• Ability to communicate ideas clearly and ask questions when facing new challenges.