Analytics Engineer I

Bristol Myers Squibb

1 - 3 years

10 - 14 Lacs

hyderabad

Posted:5 days ago| Platform:

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Skills Required

continuous integration cd python data manipulation data processing presentation skills pyspark ci/cd microsoft azure elt aws cloudformation sql pipeline software development life cycle git lambda expressions iam etl aws sdlc communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

Hands-on design, deployment, operations, maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.
Develop a close working relationship with data science teams to facilitate and implement best practices relating to data engineering, and MLOps.
Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis.
Build and optimize robust data pipelines and analytical workflows to enable statistical analysis, support machine learning models, and deliver insights that inform strategic decision-making.
Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems
Collaborate with data engineers and IT teams to ensure data availability, quality and reliability for analysis and modeling
Actively learns new data engineering tools and methods or gain proficiency in existing data engineering/Analytical tools.
Shows willingness to adapt to changes in technology and processes.

Skills and competencies

Proficient in PySpark and Python with strong experience in data processing, data manipulation and analysis
Working knowledge of SQL for querying and managing structured data
Experience with building and deploying data engineering solutions using Git (for version control and collaborative development)
Solid problem-solving skills and the ability to think critically and creatively to tackle complex business challenges
Solid communication and presentation skills to convey complex concepts to technical and non-technical stakeholders
Understanding of CI/CD practices, including the Software Development Life Cycle (SDLC).
Basic understanding of the Domino platform is a plus
Familiarity with AWS/AZURE/GCP services (like API gateway, Cloud Formation, lambda, IAM etc) is a plus
Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment

Experience

We welcome a bachelor s or masters in a relevant field such as Computer Science, or a related discipline.
Proven experience (typically 1 to 3 years) in any Engineering role preferably in IT/Pharma Industry
Have a strong commitment to a career in technology with a passion for healthcare
Experience or understanding in Agile methodology.
Experience in handling and analyzing large-scale structured and unstructured data sets using SQL or similar technologies.
Demonstrated ability to develop and implement ETL/ELT pipelines
Experience working with healthcare data, clinical trials, or related domains is preferable
Understanding of the biopharma industry, including regulatory requirements and healthcare data sources is a plus.

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