Data Engineer I at Bristol-Myers Squibb

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

PharmaceuticalsIndustries

Requirements

2-3 years of hands-on experience implementing and operating data capabilities and cutting-edge data solutions, preferably in AWS cloud environment
Breadth of experience in technology capabilities spanning the full life cycle of data management including data lakehouses, master/reference data management, data quality, and analytics/AI ML
In-depth experience with AWS Glue service and data engineering ecosystem on AWS
Hands-on experience developing and delivering data, ETL solutions with technologies like AWS data services (Redshift, Athena, Lake Formation, etc.), Cloudera Data Platform, Tableau Labs (plus)
Strong programming skills in languages such as Python, PySpark, Pandas, Scala, etc
Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc
Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Functional knowledge or prior experience in Lifesciences Research and Development domain (plus)
Knowledgeable in evolving trends in Data platforms and Product-based implementation
Comfortable working in a fast-paced environment with minimal oversight
Prior experience working in an Agile/Product-based environment

Responsibilities

Develop and maintain ETL/ELT pipelines for ingesting data from various sources into the data warehouse
Work with an end-to-end ownership mindset, innovate and drive initiatives through completion
Optimize data storage and retrieval to ensure efficient performance and scalability
Collaborate with data architects, data analysts, and data scientists to understand their data needs and ensure data infrastructure supports their requirements
Ensure data quality and integrity through data validation and testing
Implement and maintain security protocols to protect sensitive data
Stay up-to-date with emerging trends and technologies in data engineering and analytics
Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams, and Data Community lead to enable adoption of data and technology strategy
Create and maintain optimal data pipeline architecture; assemble large, complex data sets that meet functional/non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Skills

ETL

ELT

DataOps

Data Warehouse

Data Pipelines

Cloud Native Services

Data Validation

Data Quality

Bristol-Myers Squibb

Develops and delivers biopharmaceutical medicines

About Bristol-Myers Squibb

Bristol Myers Squibb (BMS) develops and delivers medicines aimed at treating serious diseases, focusing on areas like cancer, autoimmune diseases, and heart conditions. The company conducts extensive research and development to create new drugs, which are sold after receiving regulatory approval. BMS also produces generic drugs, offering affordable alternatives that meet the same quality standards as their branded counterparts. What sets BMS apart from competitors is its dual focus on both innovative and generic medicines, enhancing access to healthcare. The company's goal is to improve patient outcomes while maintaining a commitment to sustainability and corporate responsibility.

New York City, New YorkHeadquarters

1887Year Founded

$33,706.1MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Benefits

Flexible Work Hours

Hybrid Work Options

Professional Development Budget

Risks

Increased competition in oncology from emerging biotech firms like ArsenalBio.

BMS's lawsuit over the 340B Drug Pricing Program may lead to regulatory challenges.

Rapid AI and digital tech evolution may pose integration challenges for BMS.

Differentiation

BMS focuses on innovative cancer treatments through collaborations like ArsenalBio for T cell therapies.

The company emphasizes digital health technologies, enhancing clinical trial management and patient engagement.

BMS offers both innovative and generic medicines, increasing affordable healthcare solutions.

Upsides

BMS's partnership with Medidata enhances clinical research processes and patient outcomes.

The collaboration with AI Proteins advances novel miniprotein-based therapeutics, expanding therapeutic modalities.

BMS's global license agreement with BioArctic expands its portfolio in neurodegenerative diseases.

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