Senior Data Engineer Support
Budget: ₹12,500 – ₹37,500 INR
For the next round of hiring I want an accomplished Senior Data Engineer to sit in on our technical interviews for roughly two hours each day. The role is purely evaluative: you will craft probing questions, join live video calls, and quickly score each candidate’s depth of knowledge across Python, Scala and SQL. Our stack centres on Azure and Databricks, so practical insight into large-scale Spark/PySpark jobs, data-model design, ETL orchestration and cloud performance tuning is essential.
Candidates frequently discuss streaming, optimisation strategies and modern AI/ML add-ons, so any hands-on exposure to libraries such as PyTorch, NumPy, SciPy or TensorFlow will help you challenge them at the right level, though it is not mandatory.
Availability is limited to two focused hours per weekday; I will share the interview schedule at least 24 hours in advance. After each session you will file a concise written assessment noting technical strengths, gaps and a simple hire/no-hire recommendation. Consistency and quick turnaround are key.
Compensation is set at ₹26,000 per month, aligned to this part-time commitment and released in twice-monthly milestones once feedback reports are received. If you have 8+ years of real-world data-engineering experience with Azure, Databricks and the core language trio, I look forward to working with you.
Candidates frequently discuss streaming, optimisation strategies and modern AI/ML add-ons, so any hands-on exposure to libraries such as PyTorch, NumPy, SciPy or TensorFlow will help you challenge them at the right level, though it is not mandatory.
Availability is limited to two focused hours per weekday; I will share the interview schedule at least 24 hours in advance. After each session you will file a concise written assessment noting technical strengths, gaps and a simple hire/no-hire recommendation. Consistency and quick turnaround are key.
Compensation is set at ₹26,000 per month, aligned to this part-time commitment and released in twice-monthly milestones once feedback reports are received. If you have 8+ years of real-world data-engineering experience with Azure, Databricks and the core language trio, I look forward to working with you.