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Lead Data engineer, Sr. Specialist
MSD
Pune•Hybrid•9-12 Yrs•3 days ago
Job description
Hybrid
Overview
Skills)Job Description In Primary Posting Language (Include Requirements For Education, Experience And Skills)
Responsibilities
- 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 world's greatest health threats.
- Lead the design and implementation of end-to-end data engineering solutions
- Architect and optimize large-scale data pipelines using Spark, Python, and SQL
- Design and manage orchestration frameworks using Apache Airflow
- Build scalable and cost-efficient solutions on AWS ecosystem (S3, Glue, Redshift, Lambda)
- Should have worked on Redshift Tables and must be aware of different distribution techniques.
- Drive development and optimization of Databricks-based data platforms . Unity Catalog and access control knowledge is required
- Mentor and guide data engineering teams
- Collaborate with cross-functional stakeholders to deliver business value
- Implement and drive CI/CD practices, including GitHub Actions
- Ensure data platform scalability, performance, and reliability
- Design and implement scalable data models (conceptual, logical, physical) for enterprise data platforms
- Develop and maintain dimensional models (Star/Snowflake schemas) for analytics and reporting
- Build and optimize data Lakehouse architectures using Databricks & Delta Lake
- Define data standards, naming conventions, and modeling best practices
- Strong expertise in SQL, Python, and Apache Spark
- Extensive hands-on experience with Apache Airflow
- Deep experience with AWS cloud services (S3, Glue, Redshift, Lambda)
- Strong experience building solutions on Databricks platform
- Should have experience in DBT as well.
- Proven experience in data architecture, modeling, and big data systems
Qualifications
- Strong analytical, problem-solving, and communication skills
- Knowledge of Pharmaceutical / Life Sciences domain
- Exposure to ML/data science workflows
- Preferred Skills:
- Current Employees apply HERE
- Current Contingent Workers apply HERE
- Search Firm Representatives Please Read Carefully
- Employee Status:
- Relocation:
- VISA Sponsorship:
- Travel Requirements:
- Flexible Work Arrangements:
- Not Indicated
- Valid Driving License:
- Hazardous Material(s):
- Job Posting End Date:
- 07/15/2026*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.
- Requisition ID:R405810
Education
- Bachelor’s/Master’s degree in Computer Science or related discipline
- Typically 9+ years of experience in data engineering (Lead role)
- SQL, Pyton,
- PySpark
- Aws cloud Platform