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374 Amgen Jobs

Data Engineer

3-5 years

Hyderabad / Secunderabad

Data Engineer

Amgen

posted 9hr ago

Job Role Insights

Flexible timing

Job Description


 

What you will do 
Let’s do this. Let’s change the world. In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

Roles & Responsibilities:

  • Design, develop, and maintain data solutions for data generation, collection, and processing

  • Be a key team member that assists in design and development of the data pipeline

  • Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

  • Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs

  • Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

  • Implement data security and privacy measures to protect sensitive data

  • Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

  • Collaborate and communicate effectively with product teams

  • Identify and resolve complex data-related challenges

  • Adhere to best practices for coding, testing, and designing reusable code/component

  • Explore new tools and technologies that will help to improve ETL platform performance

  • Participate in sprint planning meetings and provide estimations on technical implementation



  • What we expect of you

    We are all different, yet we all use our unique contributions to serve patients.



    Basic Qualifications:

  • Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR

  • Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR

  • Diploma and 7 to 9 years of Computer Science, IT or related field experience





  • Preferred Qualifications:



    Functional Skills:



    Must-Have Skills :

  • Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing

  • Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools.

  • Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores

  • Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

  • Proven ability to optimize query performance on big data platforms

  •  Good-to-Have Skills: 

  • Experience with data modeling, performance tuning, on relational and graph databases( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore)..

  • Strong understanding of data modeling, data warehousing, and data integration concepts

  • Knowledge of Python/R, Databricks, SageMaker, cloud data platform

  • Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing





  • Professional Certifications :

  • AWS Certified Data Engineer preferred

  • Databricks Certificate preferred





  • Soft Skills:

  • Excellent critical-thinking and problem-solving skills

  • Strong communication and collaboration skills

  • Demonstrated awareness of how to function in a team setting



  •  Shift Information: 
    This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.



     Equal opportunity statement 
    Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

    We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.



     

    What you can expect of us 
    As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

    In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.



     

    Apply now 


    for a career that defies imagination

    Objects in your future are closer than they appear. Join us.



     

    careers.amgen.com 


    Employment Type: Full Time, Permanent

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    What people at Amgen are saying

    Data Engineer salary at Amgen

    reported by 2 employees
    ₹63.2 L/yr - ₹69.8 L/yr
    559% more than the average Data Engineer Salary in India
    View more details

    What Amgen employees are saying about work life

    based on 5 employees
    75%
    67%
    67%
    100%
    Flexible timing
    Monday to Friday
    International travel
    Day Shift
    View more insights

    Amgen Benefits

    Submitted by Company
    Health Insurance
    Child care
    Education Assistance
    Employee volunteer program and company matching donation program
    Flexible work environment
    Competitive base pay and annual bonus opportunities
    Submitted by Employees
    Health Insurance
    International Relocation
    Child care
    Gymnasium
    Cafeteria
    Work From Home +6 more
    View more benefits

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