Analitica Global

Description : Key Responsibilities :- 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. (ref:hirist.tech)