We are seeking a highly skilled Data Engineer to join our IT Services division. In this pivotal role, you will be responsible for architecting, building, and maintaining robust data infrastructure that empowers our organization to leverage its data assets effectively. You will play a critical part in ensuring data accuracy, accessibility, and efficiency across our cloud environments, directly supporting strategic decision-making and operational excellence.
Key Responsibilities
Design, develop, and deploy scalable data pipelines and integration solutions across major cloud platforms including AWS, Azure, or GCP.
Execute complex data transformation processes to convert raw data into usable formats for 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 between diverse sources and destinations.
Continuously improve data architecture to support growing business needs and emerging analytical requirements.
Qualifications and Skills
Possess 4 to 7 years of professional experience in data engineering within the IT Services sector.
Demonstrated expertise in working with cloud-based data platforms (AWS, Azure, or GCP).
Proficiency in developing and managing data integration, transformation, and pipeline monitoring tools.
Strong command of query optimization techniques and advanced data modeling principles.
Proven track record in building and maintaining ETL/ELT processes and data pipelines.
Ability to translate business requirements into technical data solutions with a focus on scalability and performance.
... 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 ...
... 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 ...
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 ...
... 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, ...
... experience with Hadoop / Big Data platforms.- Strong exposure to Big Data platform engineering and related technologies.- Experience working on/with complex data platforms and large-scale data environments.- The requirement is specifically for a Data Engineer / Big Data Engineer, not a generic application/development profile.- ...
... maintain scalable data engineering solutions.- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.- Work extensively with Databricks for data engineering and data processing requirements.- Develop and optimize data solutions using GCP BigQuery.- Develop data engineering solutions using ...
... execution hints to improve performance. - IBM DataStage experience preferred. - Able to write SQL code sufficient for most business requirements for pulling data from sources, applying rules to the data, and stocking target data - Proven track record in troubleshooting ETL jobs and addressing production issues like performance ...