Principal Data Engineer

Role: Principal Data Engineer

Location: Delhi

Mode: Hybrid

Type: Contract

Job Description:
We are seeking a Principal Data Engineer with strong enterprise-level data architecture and engineering experience, specifically within the logistics and manufacturing domains. This role is heavily focused on architecting and developing scalable data solutions using the Azure ecosystem, including Databricks, ADF, Synapse, and PySpark.

Key Responsibilities:

• 90% focus on data architecture and hands-on development
• 10% involvement in stakeholder collaboration
• Design and build scalable data pipelines and models in Azure
• Implement best practices in data engineering and architecture

Required Skills:

• Strong experience in Azure Data Engineering (ADF, Databricks, Synapse)
• Proficient in PySpark, Python, and SQL
• Solid understanding of data modeling (conceptual/logical/physical)
• Experience with tools like Erwin, Toad, and Snowflake is a plus
• Domain expertise in logistics/supply chain or HR domain

Job Type: Permanent

Pay: ₹3,000,000.00 - ₹4,000,000.00 per year

Experience:

• Databricks: 4 years (Required)
• Total: 10 years (Required)
• ADF: 3 years (Required)
• Pyspark: 2 years (Required)
• Python: 2 years (Required)
• Data Modelling: 3 years (Required)
• Snowflake tools : 3 years (Required)
• Logistics or HR domain: 2 years (Required)

Work Location: In person