Data Engineer

7 days ago

Hyderabad, Telangana, India myGwork Full time
About Merck & Co., Inc.

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases.

Our Mission

Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

The Opportunity

A Data Engineer is responsible for designing, building, and maintaining robust data pipelines and infrastructure that facilitate the collection, storage, and processing of large datasets. They collaborate with data scientists and analysts to ensure data is accessible, reliable, and optimized for analysis.

  • Data integration, ETL (Extract, Transform, Load) processes, and managing databases and cloud-based systems are key tasks in this role.
  • Data engineers play a crucial role in enabling data-driven decision-making and ensuring data quality across organizations.
What You Will Do

As a Data Engineer, you will design, implement, and maintain complex data engineering solutions to acquire and prepare data.

Create and maintain data pipelines to connect data within and between data stores, applications, and organizations.

SUPPORT AND MONITOR THE IMPLEMENTATION OF INFORMATION, RECORD MANAGEMENT POLICIES, STANDARD PRACTICE, EFFECTIVE CONTROL FOR INTERNAL DELEGATION, AUDIT, AND CONTROL RELATING TO INFORMATION AND RECORDS MANAGEMENT.

Requirements

Bachelors' degree in Information Technology, Computer Science or any Technology stream required.

7+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.

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, ideally AWS certified.

Good interpersonal and communication skills (verbal and written).

Proven record of delivering high-quality results.

Product and customer-centric approach.

Innovative thinking, experimental mindset.

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