Associate Manager, Data Engineer
- Merck Sharp
- 1 - 6 years
- Hyderabad
- 2 months 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.
- Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals.
- Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources, both internal and external.
- Use data orchestration, logging, and monitoring tools to build resilient pipelines.
- Automate data flows and pipeline monitoring to ensure scalability, performance, and resilience of the DI platform.
- Monitor, troubleshoot, and resolve issues related to the data integration platform, ensuring uptime and reliability.
- Maintain thorough documentation for integration processes, configurations, and code to ensure easy onboarding for new team members and future scalability.
- 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.
- Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals.
What should you have
- Bachelor s degree in information technology, Computer Science or any Technology stream.
- 1+ years of developing data pipelines & data infrastructure HR experience, especially in Workday and Prism, is a plus
- 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
- 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: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Merck SharpLocation(s): Hyderabad+ View Contact
Keyskills: Computer science Data management Data modeling Healthcare Data processing Project planning Business intelligence Information technology Analytics Monitoring
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