MSD Manager Senior Data Engineer 

India, Telangana, Hyderabad 

5504631

Job Description

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 world's greatest health threats.

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 company's 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.

What we look for:

Current Contingent Workers apply

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