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MSD Pharmaceuticals

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4.2

based on 264 Reviews

Video summary

173 MSD Pharmaceuticals Jobs

Data Engineer

MSD Pharmaceuticals Private Limited

4.2

based on 264 Reviews

4-8 years

Pune

1 vacancy

Data Engineer

MSD Pharmaceuticals

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analysis SQL Information Technology Clinical Data Management SAP Business Intelligence

+ 3 more

Job Description

Data Engineer

At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world s greatest health threats.

Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent for the role of Data Engineer

For the Data Engineer role, we are looking for professional with experience in designing, developing, and maintaining data pipelines. We intend to make data reliable, governed, secure and available for analytics within the organization. As part of a team this role will be responsible for data management with a broad range of activities like data ingestion to cloud data lakes and warehouses, quality control, metadata management and orchestration of machine learning models. We are also forward looking and plan to bring innovations like data mesh and data fabric into our ecosystem of tools and processes.

Primary Responsibilities:

Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse

Develop the various data transformation rules and data modeling capabilities

Collaborate with Data Analyst, Data Scientists, Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling

Work with data governance team and implement data quality checks and maintain data catalogs

Use Orchestration, logging, and monitoring tools to build resilient pipelines

Use test driven development methodology when building ELT/ETL pipelines

Develop pipelines to ingest data into cloud data warehouses

Analyze data using SQL

Use serverless AWS services like Glue, Lambda, StepFunctions

Use Terraform Code to deploy on AWS

Containerize Python code using Docker

Use Git for version control and understand various branching strategies

Build pipelines to work with large datasets using PySpark

Develop proof of concepts using Jupyter Notebooks

Work as part of an agile team

Create technical documentation as needed

Education:

Bachelor s Degree or equivalent experience in a relevant field such as Engineering (preferably computer engg.), Computer Science

Required Experience and Skills:

4-8 years of relevant experience

Good experience with AWS services like S3, ECS, Fargate, Glue,

StepFunctions, CloudWatch, Lambda, EMR

SQL

Proficient in Python, PySpark

Good with Git, Docker, Terraform

Ability to work in cross functional teams

Preferred Experience and Skills

Any AWS developer or architect certification

Agile development methodology

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Information Management, Information Technology (IT) Infrastructure, Network Infrastructures, Software Development

Preferred Skills:

Architecture Development, Architecture Development, Azure Data Factory, Bathymetric Survey, Business Case Development, Business Development, Business Model Development, Business Process Development, Business Transformation, Data Analysis, Data Extraction, Data Infrastructure, Data Mapping, Data Monitoring, Data Quality Assessments, Data Research, Data Science, Data Transformation, Data Warehouse Development, Data Warehouse Software, Decision Making, Development Design, Digital Analytics, Documentations, Geospatial Data {+ 7 more}

Job Posting End Date:

02/28/2025

*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.

Employment Type: Full Time, Permanent

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