Back
Strong employer brand, popular data role, metro location, and broad Databricks/AWS skills increase competition.
Core Databricks/AWS data engineering skills are highly transferable across industries, lowering background sensitivity.
Mandatory 8+ years plus Databricks/AWS SME, architecture and leadership skills drive high shortlisting rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the design, build, and maintenance of data products and high-quality, analytic-ready data solutions.
Act as Subject Matter Expert and Solution Architect for enterprise-level data engineering and analytics on AWS cloud and Databricks.
Lead and mentor a team of data engineers, manage multiple stakeholders, and communicate progress to Data Leadership.
8+ years of hands-on experience in data engineering, including cloud (AWS) and Databricks expertise.
Strong programming skills in Python, PySpark, SQL; experience with AWS data services (Glue, Redshift, Athena, Lake Formation).
Experience with architecting enterprise-level data engineering and analytics solutions.
Location: Hyderabad (on-site or hybrid as per site-essential/site-by-design policy).
Experienced leader capable of managing global Agile/product-based teams and vendor relationships.
Strong background in cloud-native data platforms and automation pipelines, with end-to-end ownership mindset.
Prior exposure to life sciences R&D domain and implementing scalable, production-grade data engineering solutions.