Manager, Quality Engineer
- Merck Sharp
- 3 - 8 years
- Hyderabad
- 10 days ago
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Job Description
Role Overview
A Data Engineer is responsible for designing, building, and maintaining robust data pipelines/report and infrastructure that facilitate the collection, storage, and processing of large datasets. They ensure data/insight is accessible, reliable, and optimized for analysis by collaborating with data scientists and analysts. Key tasks include data integration, ETL (Extract, Transform, Load) processes, report design and managing databases and cloud-based systems. Data engineers play a crucial role in enabling data-driven decision-making and ensuring data quality across organizations.
What will you do in this role
- Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse.
- Collaborate with Data Analysts, Data Scientists, and Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling.
- Work with the data governance team to implement data quality checks and maintain data catalogs.
- Use data orchestration, logging, and monitoring tools to build resilient pipelines.
- Use test-driven development methodology when building ELT/ETL pipelines
- Understand and apply concepts like a data lake, data warehouse, lake-house, data mesh, and data fabric where relevant
- Develop data models for cloud data warehouses
- Develop pipelines to ingest data into cloud data warehouses.
- Establish, modify and maintain data structures and associated components.
- Create and deliver standard reports in accordance with stakeholder needs and conforming to agreed standards.
- Work within a matrix organizational structure, reporting to both the functional manager and the project manager.
- Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals.
What should you have
- Bachelors degree in Information Technology, Computer Science or any Technology stream.
- 3+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.
- Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement.
- Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools).
- Strong working knowledge of at least one large-scale data processing technology (e.g., High-performance computing, distributed computing), databases, and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases)
- Cloud-native, ideally AWS certified.
- Strong working knowledge of at least one Reporting/Insight generation technology
- Good interpersonal and communication skills (verbal and written).
- Proven record of delivering high-quality results.
- Product and customer-centric approach.
- Innovative thinking, experimental mindset.
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Engineering - Software & QA,
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Merck SharpLocation(s): Hyderabad
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Keyskills: CVS Data modeling Database administration Agile Data structures Healthcare Business intelligence Information technology SDLC Analytics
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