Manager, Software Engineer - SeaHUB
- Merck Sharp
- 4 - 7 years
- Hyderabad
- 3 days ago
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Job Description
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The Opportunity
- Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
- Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
- Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats.
Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.
A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.
Responsibilities
- Design, develop, and maintain data ingestion workflows using DIWF or similar frameworks.
- Build and optimize ETL/ELT pipelines for data consolidation, normalization, indexing, and cleaning.
- Develop and manage data models and transformations using DBT.
- Work with large-scale data storage solutions including AWS S3 and Data Lakes.
- Implement and maintain SQL-based data warehouses and bioinformatics databases such as BioSQL.
- Develop and maintain RESTful APIs using Flask, including asynchronous API endpoints for scalable data access.
- Collaborate with HPC teams to integrate high-performance computing resources for compute-intensive bioinformatics tasks.
- Utilize Databricks and Apache Spark for distributed data processing and analytics.
- Ensure best practices in code quality, version control, testing, and deployment.
- Collaborate with cross-functional teams including data scientists, bioinformaticians, and cloud engineers.
Requirements:
- Minimum bachelor s degree in computer science, Bioinformatics, Data Science, or related STEM (Science, technology, engineering, and mathematics) field
- Proven experience in data engineering, including data ingestion, transformation, and pipeline development.
- Strong proficiency in Python, including experience with Biopython for bioinformatics workflows.
- Experience with Databricks and Apache Spark for big data processing.
- Hands-on experience with AWS services including EC2, S3, and EBS.
- Familiarity with High-Performance Computing (HPC) environments.
- Expertise in SQL and experience working with bioinformatics databases such as BioSQL.
- Experience with DBT for data modeling and transformation.
- Strong skills in developing RESTful APIs using Flask, including asynchronous API design.
- Knowledge of data lake architectures and best practices.
- Familiarity with data consolidation, normalization, indexing, and cleaning techniques.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Excellent problem-solving skills and ability to work in a collaborative team environment.
Who we are
What we look for
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Employee Status:
Regular Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing Preferred Skills:
Job Posting End Date:
08/29/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: Merck SharpLocation(s): Hyderabad+ View Contact
Keyskills: Computer science Solution architecture Data modeling Healthcare Data processing Business solutions Analytics SDLC SQL Python
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