Senior Manager, Senior Data Engineer
- Merck Sharp
- 6 - 11 years
- Hyderabad
- 3 days ago
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Job Description
Senior Manager, Data Engineer
The Opportunity
- 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 worlds greatest health threats.
Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.
A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.
Role Overview
Responsibilities
- Designs, builds, and maintains data pipeline architecture - ingest, process, and publish data for consumption.
- Batch processes collected data, formats data in an optimized way to bring it analyze-ready
- Ensures best practices sharing and across the organization
- Enables delivery of data-analytics projects
- Develops deep knowledge of the companys supported technology; understands the whole complexity/dependencies between multiple teams, platforms (people, technologies)
- Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem
- Understands the customer and stakeholders business needs/priorities and helps building solutions that support our business goals
- Establishes and manages the close relationship with customers/stakeholders
- Has overview of the date engineering market development to be able to come up/explore new ways of delivering pipelines to increase their value/contribution
- Builds community of practice leveraging experience from delivering complex analytics projects
- Is accountable for ensuring that the team delivers solutions with high quality standards, timeliness, compliance and excellent user experience
- Contributes to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria
Qualifications:
- Bachelor s degree in Computer Science, Data Science, Information Technology, Engineering or a related field.
- 3+ plus years of experience as a Data Engineer or in a similar role, with a strong portfolio of data projects.
- 3+ plus years experience SQL skills, with the ability to write and optimize queries for large datasets.
- 1+ plus years experience and proficiency in Python for data manipulation, automation, and pipeline development.
- Experience with Databricks including creating notebooks and utilizing Spark for big data processing.
- Strong experience with data warehousing solution (such as Snowflake), including schema design and performance optimization.
- Experience with data governance and quality management tools, particularly Collibra DQ.
- Strong analytical and problem-solving skills, with an attention to detail.
- SAP Basis experience working on SAP S/4HANA deployments on Cloud platforms (example: AWS, GCP or Azure).
Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation.
Who we are:
What we look for:
#HYDIT
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Employee Status:
Regular Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Business, Business, Business Intelligence (BI), Business Management, Contractor Management, Cost Reduction, Database Administration, Database Optimization, Data Engineering, Data Flows, Data Infrastructure, Data Management, Data Modeling, Data Optimization, Data Quality, Data Visualization, Design Applications, ETL Tools, Information Management, Management Process, Operating Cost Reduction, Senior Program Management, Social Collaboration, Software Development, Software Development Life Cycle (SDLC) {+ 1 more} Preferred Skills:
Job Posting End Date:
08/13/2025 *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.
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: Automation Data management Data modeling Analytical Healthcare Data processing Business intelligence Information technology Analytics SQL
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