- Develop and maintain data pipelines for ingestion, transformation, and integration across multiple platforms.

- Work with structured and semi-structured data (CSV, JSON, Parquet, APIs, databases).

- Support the design and development of data models, ETL workflows, and data validation.

- Assist in building and maintaining data warehouses and data lakes.

- Prepare and optimize datasets for Power BI dashboards and reports.

- Write efficient SQL queries and Python scripts for data preparation.

- Collaborate with BI developers to ensure data pipelines meet reporting and analytics requirements.

- Support data governance, quality, and security practices.

- Participate in testing, debugging, and documenting data workflows.

- Continuously learn new tools and technologies in cloud and BI data engineering.

Shape :

Desired Profile :

- Bachelors degree in computer science, Engineering, or related discipline.

- 1 - 2 years of experience in data engineering or related role (internship/project experience acceptable).

- Strong knowledge of SQL and relational databases.

- Hands-on experience with Python for data handling (Pandas preferred).

- Exposure to Apache Spark or similar distributed processing frameworks.

- Familiarity with at least one cloud platform (Azure or AWS) and eagerness to learn both.

- Exposure to Snowflake for data warehousing is a strong plus.

- Experience in preparing data models and datasets for Power BI dashboards.

- Understanding of data pipelines, ETL processes, and basic data modelling concepts.

- Good problem-solving skills, attention to detail, and eagerness to learn.

- Strong communication skills and ability to work in collaborative teams.