Specialist, Cloud Data Engineering

Merck; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Merck in Hyderabad is seeking a Specialist, Cloud Data Engineering to join a global healthcare biopharma technology team. You will work on data pipelines and analytics platforms that empower researchers and enable scalable data strategies across research labs and discovery teams.

The role focuses on delivering end-to-end data solutions, collaborating with scientists and engineers, and driving best practices in data engineering, data governance, and cloud-based pipelines in a globally distributed

Qualifications

• BS or MS in Computer Science/engineering or equivalent technical field.
• 3 to 6 years of experience in Cloud Data Engineering.

Responsibilities

• Engineering support of day-to-day activities/needs in our infrastructure.
• Execute scientific pipelines, support data movement.
• Promote and help with the adoption of development, design, architecture, and DevOps best practices, with a particular focus on agile deliver mindset .
• Manage technical and business dependencies and bottlenecks; balance technical constraints with business requirements; and deliver maximum business impact with solid customer experience.
• Strong collaboration, organization skills in cross-functional teams; ability to effectively communicate with technical and non-technical audiences; work closely with scientists, peers, and business leaders in different geographical locations to define and deliver complex engineering features.

Skills

Python

Linux command line

Batch processing

Lar

Education

BS or MS in Computer Science/engineering or equivalent technical field

Job description

Job Description

Specialist, Cloud Data Engineering

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.

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

We are looking for Software Engineers (SE) who can break down and solve complex problems with a strong motivation to get things done with a boots-on-the-ground, pragmatic mindset! Our engineers own their products end to end and influence the way how our products and technology are deployed to facilitate most aspects of drug discovery impacting hundreds of thousands of patients around the world. We are looking for engineers who can creatively handle complex dependencies and ambiguous requirements, competing business priorities, while producing fit-for-purpose, optimal solutions.

We are hoping that you are passionate about collaborating across the interface between hard-core software development and research and discovery data analysis.

Our Engineering team builds core components used by our company's Research Labs' data analytics, visualization, and management workflows. The analysis tools and pipelines built for data processing by our team in partnership with our scientists aim to accelerate research and the discovery of new therapies for our patients.

We collect, annotate, analyze petabytes of scientific data (multi-omics, chemistry, imaging, safety) used in biomarker research, drug safety/efficacy, drug target discovery, and compendium diagnostic development. We help our scientists to process, analyze scientific data at scale by developing highly parallelized analytical workflows ran on HPC infrastructure (on-prem & cloud); to manage, explore and visualize various scientific data modalities by developing bespoke data models, bioinformatics ETL processes, data retrieval and visualization services using distributed micro-service architecture, FAIR data principles, SPA type dashboards, industry specific regulatory compliant data integrity, auditing, and security access controls.

We are a creative and disciplined software engineering team, using agile practices and established technology stacks to design and develop large-scale data analytics, visualization, and management software solutions for local and on-cloud hosted HPC datacenters, as well as to integrate 3rd party analytical platforms with internal data workflows to address pressing engineering and data science challenges of life-science.

What will you do in this role

• Engineering support of day-to-day activities/needs in our infrastructure.
• Execute scientific pipelines, support data movement.
• Promote and help with the adoption of development, design, architecture, and DevOps best practices, with a particular focus on agile deliver mindset .
• Manage technical and business dependencies and bottlenecks; balance technical constraints with business requirements; and deliver maximum business impact with solid customer experience.
• Strong collaboration, organization skills in cross-functional teams; ability to effectively communicate with technical and non-technical audiences; work closely with scientists, peers, and business leaders in different geographical locations to define and deliver complex engineering features.

What should you have

• BS or MS in Computer Science/engineering or equivalent technical field.
• 3 to 6 years of experience in Cloud Data Engineering.

Required Skills

• Proficient (3+ years hands-on experience) with Python.
• Proven ability (3+ years hands-on experience).
• Data manipulation using Linux command line tools, batch processing.
• Lar