Amgen seeks a Level 4 Data Engineer to design, build, and maintain data solutions that drive business decisions. The role involves developing ETL pipelines, managing large datasets, implementing data governance, and collaborating across teams to deliver scalable data infrastructure.
Responsibilities
Design, develop, and maintain data solutions for generation, collection, and processing across systems
Build and manage data pipelines implementing ETL/ELT processes to ensure data quality and reliability
Lead data pipeline projects from inception through deployment, managing scope and timelines
Collaborate with cross-functional teams, data architects, and business stakeholders to define requirements
Implement data security, privacy measures, and governance best practices using cloud platforms
Requirements
Master's or Bachelor's degree in Computer Science, IT, or related field with 5-9 years experience
Hands-on expertise with big data platforms including Databricks, Apache Spark, and workflow orchestration
Proficiency in SQL and data visualization tools with strong data analysis capabilities
Solid understanding of data governance frameworks, data protection regulations, and compliance requirements
Experience designing and implementing AI solutions using LLMs, RAG, vector search, and prompt engineering
Knowledge of Python/R, data modeling, data warehousing, and cloud data integration concepts
Excellent problem-solving, communication, and collaborative skills
... Net Zero by 2040. What you'll be doing Build, maintain, and monitor automated data pipelines on the Group's cloud data platform, transforming raw transactional data into reporting schemas and developing BI dashboards to deliver reliable, analytics-ready data. • Build, maintain, and monitor automated ETL/ELT data pipelines ...
... experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline ...
Purpose of Job We are looking for a Senior Data Engineer who is equally strong on the data side (modelling, data quality, SQL, understanding the business) and the engineering side (Python, PySpark, CI/CD, performance, reliability). You will own the design and delivery of production data platforms from requirements to production ...
... scalable data pipelines and third-party API integrations. - Work with business teams and analysts to interpret business rules and derive insights. - Implement data-quality processes, monitoring, and alerting to maintain accurate and available production data. - Analyze and troubleshoot data issues and assist with their resolution. ...
... Data Frames using PySpark • Conduct complex data analysis and report on results. • Combine raw information from different sources. • Explore ways to enhance data quality and reliability. Required Skills: • 4-5 years of data engineering experience loading, analyzing and interpreting data. • Solid experience with AWS Glue, ...
... measurable business outcomes Overview We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ...
... analysis and reporting. - Implement and monitor data quality frameworks to ensure the integrity, consistency, and reliability of all data assets. - Optimize database queries and data models to enhance system performance and reduce latency. - Engineer end-to-end ETL and ELT workflows to facilitate seamless data movement ...
... effective solutions - Ensure adherence to best practices related to data governance, quality, and security across all data pipelines - Automate and optimize data processing tasks to improve reliability and reduce manual intervention - Drive adoption of emerging big data technologies, cloud engineering, and automation practices ...
... and analytics. - Implement data quality checks, validation frameworks, monitoring, error handling, and pipeline performance improvements. - Collaborate with Data Analysts, Data Scientists, Product Teams, and Business Stakeholders to understand requirements and deliver scalable data solutions. - Follow data engineering ...
... subordinate team members to meet established timelines. Requirements - 3–5 years of experience. - Knowledge of SQL and Python. - Experience or knowledge of data engineering, data modelling, ETL/ELT development, data pipelines, cloud data platforms, database management, data warehousing, and data lakes. - Knowledge of data analysis, ...