Description :

About the Role :

We are looking for a highly motivated Associate Data Engineer with 2+ years of experience in data transformation, analysis, and visualization. The ideal candidate should have a solid understanding of SQL, data modeling, ETL processes, and business intelligence tools.

You will work on designing, building, and optimizing datasets and analytical solutions for e-learning and business intelligence reporting.

Key Responsibilities :

- Design and develop data pipelines for ingestion, transformation, and reporting using SQL and Python.

- Create and maintain analytical tables, views, and materialized views for dashboarding and advanced analytics.

- Perform in-depth data analysis and validation to ensure data integrity and accuracy.

- Collaborate with stakeholders to translate business requirements into technical solutions.

- Develop interactive dashboards and reports using tools like Power BI or Tableau.

- Optimize database performance (indexing, partitioning, query tuning).

- Work closely with the data engineering team to improve ETL workflows and data quality monitoring.

Required Skills & Qualifications :

- 2 to 4 years of professional experience in data analytics or data engineering.

- Strong proficiency in SQL (PostgreSQL, MySQL, or equivalent).

- Experience with ETL tools (Airflow, Dataform, or custom Python pipelines).

- Working knowledge of Python (Pandas, NumPy) for data transformation.

- Experience with data visualization tools such as Power BI or Tableau.

- Understanding of data modeling concepts (star/snowflake schema).

- Familiarity with cloud databases (Azure, GCP, or AWS) preferred.

- Strong analytical mindset and ability to work independently.

Good-to-Have :

- Experience with BigQuery, Azure Data Studio, or dbt.

- Exposure to API-based data extraction and automation workflows.

- Knowledge of data governance and version control (Git).

- Interest in LMS analytics, e-learning data, or edtech domain.