Specialist Data Engineer
MSD (Merck & Co., Inc.)Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist data engineer in Hyderabad with broad skills creates high applicant competition.
Core data engineering skills are transferable, but pharma Commercial/CRM (Veeva/Salesforce) familiarity reduces transferability somewhat.
Explicit 3–5 years requirement plus mandatory Databricks, IDMC, SQL and Python increases filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable data pipeline architectures for high-quality data ingestion and delivery to business stakeholders.
Develop and optimize batch data processing pipelines ensuring data is structured for analytical use and adhere to data engineering best practices.
Translate business requirements into technical deliverables supporting stakeholder priorities and actively contribute to data analytics initiatives.
Minimum Requirements
3–5 years of work experience in Data Engineering.
Proficient in SQL and Python; experienced with Informatica Intelligent Data Management Cloud (IDMC) and Databricks development.
Familiarity with AWS core services including S3 and IAM, data modeling (Star/Snowflake schemas), and CI/CD with Git workflows.
Location: Hyderabad; No visa sponsorship; Hybrid work arrangement; No travel required.
Ideal Candidate Profile
Experienced in building data solutions in a commercial data domain with focus on data warehousing and cloud integration.
Operates effectively within agile sprint cycles delivering tested code on schedule and maintaining stakeholder alignment.
Engages in continuous learning and community knowledge sharing to improve pipeline efficiency and adopt emerging trends in data engineering.