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PwC brand, mid-level data engineer role, metro location, and generalist AI/data skills drive high competition.
Data engineering and cloud skills transfer across industries, though Snowflake/Azure specificity moderates fit.
Explicit 5+ years plus mandatory Azure, Snowflake, and ML experience increases selection strictness.
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Lead development and deployment of advanced machine learning and statistical models addressing complex healthcare problems.
Design and implement scalable data pipelines and ETL workflows on Snowflake/Data Lake platforms, integrating advanced analytics techniques.
Collaborate with global stakeholders to influence product and business strategy and mentor data science team members to enhance technical capabilities.
5+ years of experience in data analytics, data engineering, and machine learning solutions.
Strong expertise with Azure Stack services and Snowflake; proficient in SQL and dimensional modeling.
Bachelor of Technology degree is required.
Location: Hyderabad; Full-time permanent position.
Experienced in healthcare domain analytics, capable of translating real-world challenges into scalable data science solutions.
Technical proficiency in advanced statistical methods, machine learning, Python or R programming, and visualization tools like Power BI or Tableau.
Ability to lead AI research projects and effectively communicate complex technical concepts to diverse audiences.