Back
Remote role and strong Tier-1 brand increase competition among qualified data engineering managers.
Core data engineering skills are transferable, but managerial and LLM/ML expectations add moderate domain specificity.
Explicit 8+ years plus mandatory Databricks/PySpark/AWS and management experience makes filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and mentor a data engineering team responsible for large-scale distributed data systems and end-to-end data orchestration strategy.
Architect, oversee, and optimize data solutions using AWS Data Services, Databricks, and related big data technologies to improve pipeline performance, reliability, and cost efficiency.
Own the strategic roadmap for data engineering projects, ensure data quality and governance, and collaborate cross-functionally to deliver impactful data products.
8+ years of experience in data engineering or adjacent fields, including 2-3+ years managing 1-3 engineers.
Proficiency in PySpark and Python programming; hands-on experience with Spark, Hive, Hadoop, Databricks (including Delta Lake, MLFlow, Unity Catalog).
Bachelor's or Master's degree in Computer Science, STEM, or related technical discipline.
Location: Based in India with remote work currently; hybrid model planned once office is established. Standard IST hours with 2-3 days per week late meetings aligned with US and LatAm teams.
Experienced in managing Agile teams and delivering complex data engineering projects on time, balancing hands-on technical expertise with leadership duties.
Skilled at designing and implementing scalable batch and streaming data platforms, with practical knowledge of data modeling, ETL/ELT, and cost-performance optimization in cloud environments.
Familiarity with Agentic Models, LLM/RAG applications for search quality, and preferably some exposure to ML/AI workflows and tools like Airflow or Docker.