[Hiring] Data Engineer Lead @Sparix Global.

Role Description

Lead the data engineering team responsible for developing and modernising enterprise data pipelines and transformation frameworks.

Key Responsibilities

• Lead design and development of Databricks pipelines.
• Review and optimise ETL/ELT architecture.
• Develop complex business transformations.
• Translate business logic into technical implementation.
• Re-engineer existing pipelines and improve performance.
• Mentor data engineers.
• Ensure engineering best practices.
• Collaborate with architects and delivery teams.

Qualifications

• Overall Years of Experience
• Relevant Experience
• Relevant Data Engineering Experience
• Databricks Development
• Apache Spark / PySpark
• ETL Pipeline Development
• ELT Architecture
• Delta Lake
• Azure Data Factory / Workflow Orchestration
• SQL (Advanced)
• Python Programming
• Data Modelling (Star/Snowflake)
• Performance Tuning & Optimisation
• Data Transformation Frameworks
• CI/CD for Data Pipelines
• Git / Version Control
• Data Quality & Validation
• Pipeline Monitoring & Logging
• Cloud Platform (Azure/AWS/GCP)
• Team Leadership / Mentoring
• Architecture & Solution Design

Requirements

• Experience Required - 7+ Years (Client needs overall 8 Years in Data Engineering)
• Timezone - IST
• Budget - 1.10 - 1.20 LPM
• Work Mode - Remote