Data Engineer

Company: Incedo

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Salary Range: ₹ 25-30 Lacs PA

Job Description

We are looking for experienced Data Engineers to join our team at Incedo and work on modern, scalable data platforms and cloud-based data solutions.

Key Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT)
• Work with large datasets including structured and semi-structured data (CSV, JSON, etc.)
• Develop and optimize data ingestion and transformation workflows
• Build efficient distributed data processing solutions
• Integrate data from multiple sources using REST APIs and cloud services
• Ensure data quality, reliability, and performance across pipelines
  
  

• Strong proficiency in SQL (complex queries, joins, aggregations)
• 7–10 years (minimum 4+ years in Data Engineering)
• Hands-on experience in Python for data processing
• Strong knowledge of PySpark
• Experience with Databricks
• Solid understanding of data engineering concepts and architectures
• Experience building ETL/ELT pipelines
• Familiarity with cloud data platforms (preferably Azure)
• Experience with Azure Data Lake / Blob Storage
• Understanding of distributed data processing systems
  
  

• Azure fundamentals and data services
• REST APIs for data ingestion and integration
• Cloud-based data pipeline implementation
  
  

• Experience with Azure Data Factory (ADF)
• Workflow orchestration tools
• Data pipeline scheduling and automation