Big Data Engineer, DD&T, Chengdu
2.5-3.5万成都市不限学历不限经验
职位描述
Responsibilities:
61Develop and maintain scalable data pipelines, and build new integrations using AWS native technologies to support increasing data sources, volumes, and complexity.
61Collaborate with analytics and business teams to improve data models that enhance business intelligence tools and dashboards, fostering data-driven decision-making across the organization.
61Implement processes and systems to ensure data reconciliation, monitor data quality, and ensure production data is accurate and available for key stakeholders, downstream systems, and business processes.
61Write unit, integration, and performance test scripts, contribute to engineering documentation, and maintain the engineering wiki.
61Perform data analysis to troubleshoot and resolve data-related issues.
61Work closely with frontend and backend engineers, product managers, and analysts to deliver integrated data solutions.
61Collaborate with enterprise teams, including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering, to design and develop data integration patterns and models supporting various analytics use cases.
61Partner with DevOps and the Cloud Center of Excellence to deploy data pipeline solutions in Takeda AWS environments, meeting security and performance standards.
Skills and Qualifications:
61Bachelor’s Degree from an accredited institution in Engineering, Computer Science, or a related field.
613+ years of experience in data engineering, software development, data warehousing, data lakes, and analytics reporting.
61Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies (e.g., DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming, and Visualization).
61Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
61Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
61Understanding of good engineering practices (DevSecOps, source-code versioning).
61Fluency in English
Nice to Have:
61Experience with streaming technologies like Spark Streaming or Kafka
61Infrastructure as Code (IaC) experience, preferably with Terraform.
61Experience designing and developing API data integrations using SOAP / REST.
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