Data Engineer

AIS business solution; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

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 the design and implementation of data warehouses and advanced analytics applications.
• Enhance and maintain corporate data warehouse and analytical platforms.
• Support analytics capabilities including machine learning and AI.
• Debug, test, and optimize data pipelines and ETL processes for performance and reliability.
• Design and implement data architectures that support scalability, performance, and compliance.
• 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.

Skills

Data engineering principles

Python/Java/Scala

SQL

Big data platforms

Database design & data modeling

ETL concepts

Tools

Spark

Hadoop

Cloud data services

Job description

Data Engineer

Location- Gurugram

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.

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.