Data Engineer

Skyleaf Consultants; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Skyleaf Consultants is seeking a data engineer to design and maintain data warehouses and analytical platforms in Gurugram. You will collaborate with data scientists and analysts to enable advanced analytics, ML, and AI capabilities while ensuring secure data access and scalable architectures.

Responsibilities include building robust ETL pipelines, optimizing data pipelines for performance, and supporting data migration projects in a fast-paced environment.

Qualifications

• Strong 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.

Responsibilities

• Apply engineering science and technology to design and implement 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.

Tools

Python

SQL

Java

Scala

Spark

Hadoop

Job description

Responsibilities

Location- Gurugram

• 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.

Qualifications

• Strong 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.