Manager, Data Integration - Technology Focus (Streaming)
- Merck Sharp
- 3 - 8 years
- Hyderabad
- 7 days ago
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Job Description
What will you do in this role:
- Your primary responsibility will be to work with platform engineering team for the build and maintenance of the infrastructure required to host our data engineering ecosystem, including managing cloud resources, containerization, and orchestration. You will drive the technical implementation and manage the adoption. You will also understand customer needs and product relations within the wider Data Integration and Central Data and Analytics ecosystem.
- You will design and implement data streaming solutions using spark structured streaming for real-time data processing and analytics
- You will participate in setting the team goals and defining product roadmaps.
- You will participate in the product development and be responsible for product enhancements.
- You will be part of the product team, participate in the backlog prioritization, provide estimation, and ensure seamless delivery.
- You will work in a cross-functional set up to ensure the platforms operation, seek optimization and help manage its overall cost.
- You will support the platform adoption by constantly and proactively collecting feedback.
What Should you have:
- Bachelor s degree in information technology, Computer Science, or equivalent experience
- Minimum of 3+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context with a focus on data streaming from technology and capability perspective
- Strong proficiency in data streaming technologies like spark structured streaming with hands-on experience in means for change data capture as the primary skill
- 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)
- Experienced in software/data engineering practices (including versioning, release management, deployment, agile & related software tools - GitHub Actions, Jenkins, Cloudbees CD, Terraform, Cloudformation, Kubernetes etc).
- Cloud-native, ideally AWS certified.
- Programming experience (Python, PySpark, SQL, Bash, Node.js, Linux and, Unix Shell, etc.)
- Familiarity with agile methodologies, user-centric design principles, and product lifecycle management is crucial.
- You must also ensure substantial documentation using collaborative tools such as Confluence, JIRA, and Digital SDLC.
- Basic QA and testing knowledge
- Good interpersonal and communication skills (verbal and written).
- Product and customer-centric approach.
- Innovative thinking, experimental mindset.
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Engineering - Software & QA,
Role Category: DBA / Data warehousing
Role: DBA / Data warehousing - Other
Employement Type: Full time
Contact Details:
Company: Merck SharpLocation(s): Hyderabad
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Keyskills: Unix Linux Data modeling Database administration Agile Business intelligence SDLC Analytics SQL Python
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