Job Description

Job Overview:
We are seeking a dynamic Consultant to join our data and analytics team, delivering innovative solutions with a focus on the life sciences industry. The ideal candidate will bring current, hands-on expertise in data warehousing (Snowflake, Redshift, Databricks or similar), master data management (MDM), and report development (Power BI, Tableau, Sigma or similar), leveraging cloud platforms (AWS, Azure, GCP). This role involves leading a small team of 2-3 developers, actively contributing to technical delivery, and engaging with clients in an onshore/offshore model. We are particularly excited to find someone passionate about applying Generative AI (Gen AI) to transform the life sciences space, with a preferred understanding of healthcare concepts and data.
Key Responsibilities:

• Hands-On Technical Delivery: Actively design, develop, and optimize data warehouse solutions using Snowflake, Redshift, and Databricks, ensuring high performance and scalability.
• Reporting & Visualization: Build and refine advanced dashboards and reports using Power BI, Tableau, Sigma, and web-based platforms to deliver actionable insights.
• Cloud Expertise: Implement and manage data solutions on AWS, Azure, and GCP, maintaining cutting-edge technical proficiency.
• Master Data Management: Execute MDM processes to ensure data quality, governance, and integration, with a focus on life sciences applications.
• Team Leadership: Lead and mentor a small team of 2-3 developers, providing technical guidance, code reviews, and workload coordination.
• Gen AI Exploration: Drive the application of Generative AI techniques to solve challenges in the life sciences domain, such as drug discovery, patient analytics, or personalized medicine.
• Client Collaboration: Work closely with clients to gather requirements, propose solutions, and deliver results that align with business and scientific objectives.
• Project Contribution: Support project execution within Agile frameworks, collaborating with onshore and offshore teams to meet deadlines.
• Innovation: Contribute to internal initiatives, particularly those exploring Gen AI and healthcare-focused analytics

Key Qualifications:
Technical Skills:

• 4+ years in data engineering, analytics, or a related technical field, with at least 2 years in a leadership or managerial role.
• Strong proficiency in technologies like Redshift, Teradata, Data bricks, Snowflake, or similar solutions
• Experience handling huge volumes of data and setting up large scale solutions using tools like Airflow, Airbyte, dbt etc.
• Proficiency with cloud platforms like AWS, Azure, or Google Cloud, including services like S3, EC2, and Lambda o Proficiency with database technologies such as MySQL, PostgreSQL, SnowSQL etc.
• Familiarity with back-end technologies like Node.js, Python (Django/Flask), Ruby on Rails, or Java (Spring Boot).
• Familiarity with front-end technologies such as HTML5, CSS3, JavaScript, and frameworks like React.js, Angular, or Vue.js.
• Experience with API design and development (RESTful and/or GraphQL).
• Knowledge of version control systems like Git and collaboration platforms such as GitHub, GitLab, or Bitbucket.
• Experience of working with US based pharma clients and datasets would be preferred.

Leadership and Management:

• Strong leadership skills with experience in building and managing technical teams.
• Excellent problem-solving abilities and a strategic mindset.
• Strong knowledge of master data management principles and practices
• Excellent project management skills, with experience in Agile/Scrum frameworks

What We Offer:

• Opportunity to work on transformative healthcare projects.
• A collaborative and inclusive work environment.
• Competitive salary, performance-based bonuses, and professional development opportunities.
• Work on cutting edge cloud and Gen AI solutions

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