Tech Consultant
Tech Consultant
Posted on :
02-06-2025
Employer Active
1 Vacancy
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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 Python (Django/Flask) Ruby on Rails or Java (Spring Boot).
Familiarity with front-end technologies such as HTML5 CSS3 JavaScript and frameworks like Angular or .
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
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 Python (Django/Flask) Ruby on Rails or Java (Spring Boot).
Familiarity with front-end technologies such as HTML5 CSS3 JavaScript and frameworks like Angular or .
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
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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