Analitica Global - Data Engineer - SQL/Python

<p><p><b>Description : </b><br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Develop and maintain data pipelines for ingestion, transformation, and integration across multiple platforms.<br/><br/>- Work with structured and semi-structured data (CSV, JSON, Parquet, APIs, databases).<br/><br/>- Support the design and development of data models, ETL workflows, and data validation.<br/><br/>- Assist in building and maintaining data warehouses and data lakes.<br/><br/>- Prepare and optimize datasets for Power BI dashboards and reports.<br/><br/>- Write efficient SQL queries and Python scripts for data preparation.<br/><br/>- Collaborate with BI developers to ensure data pipelines meet reporting and analytics requirements.<br/><br/>- Support data governance, quality, and security practices.<br/><br/>- Participate in testing, debugging, and documenting data workflows.<br/><br/>- Continuously learn new tools and technologies in cloud and BI data engineering.<br/><br/><b>Shape : </b><br/><br/><b>Desired Profile :</b></p><p><p><b><br/></b></p>- Bachelors degree in computer science, Engineering, or related discipline.<br/><br/>- 1 - 2 years of experience in data engineering or related role (internship/project experience acceptable).<br/><br/>- Strong knowledge of SQL and relational databases.<br/><br/>- Hands-on experience with Python for data handling (Pandas preferred).<br/><br/>- Exposure to Apache Spark or similar distributed processing frameworks.<br/><br/>- Familiarity with at least one cloud platform (Azure or AWS) and eagerness to learn both.<br/><br/>- Exposure to Snowflake for data warehousing is a strong plus.<br/><br/>- Experience in preparing data models and datasets for Power BI dashboards.<br/><br/>- Understanding of data pipelines, ETL processes, and basic data modelling concepts.<br/><br/>- Good problem-solving skills, attention to detail, and eagerness to learn.<br/><br/>- Strong communication skills and ability to work in collaborative teams.</p><br/></p> (ref:hirist.tech)