Back
Medium — strong employer brand and Hyderabad metro increase competition, but specialized Databricks/AWS skills narrow the pool.
Medium — core Databricks/AWS analytics skills are transferable, though pharma domain knowledge is advantageous.
High — explicit 6+ years and mandatory Databricks/Delta Lake/AWS production experience and mentoring requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and own scalable analytics-layer transformations and dimensional data models on Databricks Lakehouse for commercial analytics.
Lead performance tuning, cost optimization, and technical decisions on Databricks and AWS architecture supporting large-scale data platforms.
Mentor junior developers and collaborate with analysts, data scientists, and business stakeholders to deliver trusted, governed analytics and self-service BI products.
6+ years of hands-on experience in analytics/data engineering with deep expertise in Databricks, data modeling (dimensional/star/snowflake schemas), and AWS (S3, IAM, Glue, Lambda).
Strong proficiency in SQL and Python for data transformation at scale; experience with dbt or similar frameworks is expected.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Statistics/Mathematics, or equivalent practical experience.
Work Experience Required: 6+ years in relevant analytics or data engineering roles.
Experienced in architecting and optimizing Databricks Lakehouse solutions for commercial datasets including large-scale structured and semi-structured data.
Strong leadership in mentoring engineers through hands-on coaching and code reviews within delivery teams.
Comfortable communicating complex technical concepts and trade-offs clearly to non-technical business stakeholders and driving stakeholder collaboration.