Analitica Global - Data Engineer

Description : Key Responsibilities :- Develop and maintain data pipelines for ingestion, transformation, and integration across multiple platforms.- Work with structured and semi-structured data such as CSV, JSON, Parquet, APIs, and databases.- Design and implement data models, ETL/ELT workflows, and validation processes.- Build and maintain data warehouses and data lakes for analytics and reporting.- Prepare, optimize, and deliver datasets for Power BI dashboards and reports.- Write efficient SQL queries and Python scripts for data extraction, transformation, and loading.- Debug and optimize stored procedures (SPs) for performance and reliability.- Collaborate with BI developers to ensure data pipelines meet reporting and analytics requirements.- Support data governance, quality, and security initiatives.- Participate in testing, debugging, and documenting data workflows.- Apply performance tuning techniques such as indexing, execution plan analysis, and query optimization.- Utilize SQL features such as CTEs, joins, dynamic queries, window functions (LEAD, LAG), and understand differences between temporary and physical tables.- Continuously explore and adopt emerging tools, frameworks, and best practices in data engineering and cloud technologies.ShapeDesired Profile- Bachelors degree in computer science, Engineering, or related discipline.- 2-3 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 and hands-on experience in Snowflake for data warehousing is a strong plus.- Experience in preparing data models and datasets for Power BI dashboards.- Solid understanding of data pipelines, ETL/ELT processes and data integration frameworks.- Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL)- Good problem-solving skills, attention to detail, and eagerness to learn.- Strong communication skills and ability to work in collaborative teams. (ref:hirist.tech)