Data Developer at Allucent

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, SQL, Database Management, ETL Processes, Data Visualization, Python, R, Analytical Skills, Problem-Solving, Communication Skills, Data Quality, Data Integrity, Documentation, Collaboration, Data Manipulation, Data Retrieval

Industry

Pharmaceutical Manufacturing

Description

Allucent™ is on the lookout for a passionate and talented Data Developer to join our dynamic team. In this role, you will be responsible for creating and maintaining data-driven applications that facilitate informed decision-making in clinical trial operations. The successful candidate will possess strong analytical skills and be adept at working with large data sets across various platforms. Your primary focus will be to design, implement, and optimize data pipelines and databases. You will collaborate closely with data scientists, analysts, and stakeholders to ensure the successful integration of data solutions into their workflows, ultimately contributing to the advancement of life sciences and healthcare innovation. Key Responsibilities: Design and build robust data pipelines to collect, transform, and aggregate diverse datasets from various sources. Develop and maintain scripts and stored procedures for efficient data manipulation and retrieval. Collaborate with data scientists and analysts to understand data needs and provide timely and accurate datasets. Optimize SQL queries and database performance to ensure efficient access to data. Ensure data quality and integrity through validation and cleansing processes. Document data workflow processes and database architectures for clarity and future reference. Qualifications and Requirements: Minimum of 3 years of experience as a Data Developer or in a similar data-focused role. Proficiency in SQL and experience with at least one major database management system (e.g., MySQL, SQL Server, PostgreSQL). Experience in data extraction, transformation, and loading (ETL) processes. Familiarity with data visualization tools such as Tableau, Power BI, or similar. Understanding of programming languages like Python or R for data analysis is a plus. Strong analytical and problem-solving skills, with attention to detail. Excellent communication skills to collaborate effectively with technical and non-technical teams. Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field is preferred. Kindly share your CV to Monica.Grace@allucent.com Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via GoodHabitz and internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.”

Responsibilities

The Data Developer will design, implement, and optimize data pipelines and databases. They will collaborate with data scientists, analysts, and stakeholders to integrate data solutions into workflows.