
Global - Data Engineer - SQL/Python
11 hours ago
Description :
Key Responsibilities :
- 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 :
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.
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