Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.

Integrate data from multiple sources, ensuring consistency, reliability, and data quality.

Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.

Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.

Monitor and troubleshoot data systems to ensure performance, security, and efficiency.

Document data processes, system configurations, and best practices.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Proven experience with SQL, Python, and data pipeline frameworks.





Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).

Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.

Excellent problem-solving, analytical, and communication skills.

Ability to work both independently and collaboratively in a fast-paced environment.

Advantages

Competitive salary and performance-based incentives.

Prospects for professional development and technical training.

Creative and collaborative work culture.
Flexible or hybrid working arrangements.

📌 Data Engineer Lucknow
🏢 Novo Club by Paragon
📍 Lucknow