Full-Time

Associate Software Engineer

Confirmed live in the last 24 hours

Amgen

Amgen

10,001+ employees

Biotechnology company developing therapeutic medicines

No salary listed

Junior, Mid

Hyderabad, Telangana, India

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Airflow
NoSQL
Apache Spark
SQL
Java
Docker
AWS
Scala
Terraform
Hadoop
Databricks
HTML/CSS
Snowflake
Google Cloud Platform
Requirements
  • Degree in computer science & engineering preferred with 2-5 years of software development experience
  • Proficient in Python, Java, CSS HTML
  • Hands on experience with various cloud services, understand pros and cons of various cloud services in well architected cloud design principles
  • Proficient in programming languages, Java, Python, Fast Python, Databricks/RDS, Data engineering, S3Buckets, ETL, Hadoop, Spark, airflow, AWS Lambda
  • Working knowledge of open-source tools such as AWS lambda
  • Work with cloud-based data technologies and platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks)
  • Contribute to deploying and maintaining platform components using infrastructure-as-code and containerization tools (e.g., Docker, Kubernetes, Terraform)
  • Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
Responsibilities
  • Assist in building APIs, connectors, and automation scripts to ingest metadata and support lineage tracking.
  • Assist in the development and maintenance of data platform services and applications using modern programming languages (e.g., Python, Java, Scala).
  • Support the design and implementation of data pipelines and APIs to ingest, process, and expose structured and unstructured data.
  • Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
  • Develop backend processes to support automated metadata ingestion, data profiling, classification, and tagging
  • Work with cloud-based data technologies and platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks).
  • Contribute to deploying and maintaining platform components using infrastructure-as-code and containerization tools (e.g., Docker, Kubernetes, Terraform).
  • Keeps abreast of current technology trends and familiarize yourself with application development best practices.
  • Demonstrate strong initiative and ability to work with minimal supervision or direction
  • Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code like Terraform
  • In-depth knowledge of relational and columnar SQL databases, including database design
  • Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestone, indexing, partitioning)
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases.
  • Possesses strong rapid prototyping skills and can quickly translate concepts into working code
  • Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
  • Analyze and understand the functional and technical requirements of applications
  • Identify and resolve software bugs and performance issues
  • Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time
  • Maintain detailed documentation of software designs, code, and development processes
  • Customize modules to meet specific business requirements
  • Work on integrating with other systems and platforms to ensure seamless data flow and functionality
  • Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently.
  • Informing various stakeholders about any problems with the current technical solutions being implemented.
  • Take ownership and accountability of the deliverables
Desired Qualifications
  • Experience in Python or Java or Scala is desirable
  • Strong knowledge of data modelling, ETL processes, and database technologies
  • Experience with big data processing frameworks (Hadoop, Spark) and data pipeline orchestration tools (Airflow).
  • Experienced with API integration, serverless, microservices architecture.
  • Experienced with Python, Fast Pythons API
  • Experience in Data bricks, PySpark, Spark, SQL, ETL, ELT
  • Solid understanding of data governance, data security, and data quality best practices
  • Experience with Unit Testing, Building and Debugging the Code
  • Experienced with AWS /Azure Platform, Building and deploying the code
  • Experience in vector database for large language models, Databricks or RDS
  • Experience with DevOps CICD build and deployment pipeline
  • Experience in Agile software development methodologies
  • Experience in End-to-End testing
  • Experience in additional Modern Database terminologies.

Amgen develops medicines aimed at treating serious illnesses, focusing on biotechnology. The company researches, develops, and commercializes biologic therapies, which are derived from living organisms, to address conditions like cancer, cardiovascular diseases, and autoimmune disorders. Amgen's products work by utilizing biological processes to create effective treatments for patients. Unlike many competitors, Amgen emphasizes a strong commitment to research and development, reinvesting a significant portion of its earnings to discover new therapies. The goal of Amgen is to improve patient care and outcomes by providing effective therapeutic solutions.

Company Size

10,001+

Company Stage

IPO

Headquarters

Thousand Oaks, California

Founded

1980

Simplify Jobs

Simplify's Take

What believers are saying

  • Amgen's investment in AI aligns with trends in biotechnology innovation.
  • Institutional investments indicate strong market confidence in Amgen's growth.
  • FTC clearance of the Horizon merger may ease future regulatory hurdles.

What critics are saying

  • Competitors' AI-driven drug discovery could outpace Amgen's traditional R&D methods.
  • FTC scrutiny of mergers may complicate Amgen's future growth strategy.
  • Advancements in quantum technologies could pose a competitive threat to Amgen.

What makes Amgen unique

  • Amgen focuses on biologic therapies derived from living organisms.
  • The company has a strong pipeline of potential new therapies in development.
  • Amgen's acquisition of Horizon Therapeutics enhances its rare disease portfolio.

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