Role & responsibilities

Apply engineering science and technology, including principles, techniques, procedures,

and equipment to the design and implementation of data warehouse and advanced analytical applications.
Enhance and maintain corporate data warehouse and analytical platforms.
Support engineering needs associated with advanced analytical capabilities including machine learning, predictive modeling, and artificial intelligence.
Debug, test, and optimize data pipelines and ETL processes for performance and reliability.
Design and implement data architectures that support scalability, performance, and compliance requirements.
Collaborate with data scientists and analysts to implement advanced analytics solutions.
Implement data security, encryption, and access control mechanisms.
Support data migration and integration projects.

Preferred candidate profile

Qualifications
Solid knowledge of data engineering principles and practices.
Proficiency in programming languages (Python, Java, Scala) and SQL.
Experience with big data platforms and tools (Spark, Hadoop, or cloud data services).
Knowledge of database design and data modeling.
Understanding of ETL and data integration concepts.

📌 Data Engineer Etl/scala Mid Size Organisation Gurugram (India)
🏢 Skyleaf Consultants
📍 India