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    Job · 13642656

    HYDERABAD · FULLTIME

    Sr. Associate Data Engineer

    Amgen logo

    Amgen

    Hyderabad · onsite · Posted 58d ago

    Sourced fromNaukri
    Undisclosed5–9 yrsfulltimeHyderabad

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    Section · 01

    About this role

    About The Role Role Description:
    As part of the cybersecurity organization, the Data Engineer is responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring data is accessible, reliable, and efficiently managed. The role sits at the intersection of data infrastructure and business insight delivery, requiring the Data Engineer to design and build robust data pipelines while also translating data into meaningful visualizations for stakeholders across the organization. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture, ETL processes, and cybersecurity data frameworks.
    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.
    • Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability.
    • Schedule and manage workflows to ensure pipelines run on schedule and are monitored for failures.
    • 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.
    • Collaborate with data scientists to develop pipelines that meet dynamic business needs.
    • Share and discuss findings with team members practicing SAFe Agile delivery model.
    Functional Skills:
    Basic Qualifications:
    • Masters degree OR Bachelors degree and 5 to 9 years of Computer Science, IT or related field experience
    Preferred Qualifications:
    • Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, Gitlab, LucidChart, etc.
    • Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools.
    • Excellent problem-solving skills and the ability to work with large, complex datasets.
    • Understanding of data governance frameworks, tools, and best practices.
    • Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA).
    Good-to-Have Skills:
    • Experience with ETL tools and various Python packages related to data processing, machine learning model development
    • Strong understanding of data modeling, data warehousing, and data integration concepts

    Sourced from naukri

    Section · 02

    Skills

    data qualityGitlabAgileData Engineeramazon web servicesDatabricksPythonTableauSQLCyber SecurityData WarehousingArchitectureData IntegrationData Governancedata analysiscomplianceETLData ModelingBig DataMachine Learning

    Section · Company

    About Amgen

    Amgen logo

    Amgen

    Biotechnology

    1.5k+

    employees

    1980

    46 years old

    Hyderabad, Telangana

    India

    About

    Amgen operates in the biotechnology sector, developing and delivering advanced medicines to address critical health challenges globally.

    Industries

    BiotechnologyBiotech & Life sciences

    Employee ratings

    173 reviews

    2.8/ 5

    Culture

    2.7

    Career growth

    2.5

    Work-life

    2.8

    Employees rate it well for

    Senior Management11Salary7Work Culture7Work Life Balance7Learning6

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