
5001 - 10000 employees
đ Cybersecurity
đ° Post-IPO Equity on 2001-07
Cloud Computing âą Cybersecurity âą Content Delivery
Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.
đ July 14
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5001 - 10000 employees
đ Cybersecurity
đ° Post-IPO Equity on 2001-07
Cloud Computing âą Cybersecurity âą Content Delivery
Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.
âą Partner with Finance leadership across Accounting, Customer Revenue Operations, and Business Finance to architect the migration and integration of systems into Oracle Cloud. âą Design and deploy AI/ML solutions to automate and optimize core business workflows, turning enterprise data into operational intelligence. âą Lead Data Quality initiatives to establish and enforce a "single source of truth." âą Understand business processes to lead the building and maintaining of an enterprise data catalog and empower self-service analytics. âą Act as the primary go-to expert and technical consultant for process changes and technical roadmaps within Finance systems. âą Do what you love!
âą Have a deep understanding of business processes and data lifecycles specifically within Finance (Accounting, Customer Revenue Operations, Business Finance) systems. âą Have 4+ years experience over all in data engineering field . âą Good understanding of data architecture and a proven track record leading cloud ERP transformations (Oracle Cloud, Workday, Salesforce). âą Good experience with RDBMS like Oracle, elite SQL skills, and creating enterprise reports using tools like Tableau or Power BI. âą Demonstrated experience utilizing AI/ML to gain measurable business process efficiencies. âą Good communication skills with the ability to translate complex technical roadmaps for business stakeholders in a flexible environment.
âą Your health âą Your finances âą Your family âą Your time at work âą Your time pursuing other endeavors
Apply Nowđ July 13
Senior Software Engineer (Data Engineer) building and maintaining data solutions for Maropostâs analytics and AI workloads. Seeking an experienced developer with a focus on scalable systems and data processing.
Amazon Redshift
BigQuery
Cloud
Distributed Systems
Google Cloud Platform
Kafka
Postgres
Pulsar
Python
SQL
Terraform
Go
đ July 13
Senior Software Engineer working on data ingestion and transformation pipelines at ServiceTitan. Building AI-powered tools for engineering and operations in a data-centric role.
Airflow
Apache
Cloud
Distributed Systems
Kafka
Python
Spark
SQL
đ July 13
Data Engineer responsible for building and maintaining data pipelines at YipitData. Collaborate with engineering teams while focusing on data reliability and performance in a remote capacity.
Airflow
ETL
PySpark
Spark
SQL
đ July 13
Intermediate Fullstack Engineer building data products for GitLab's orchestration platform. Contributing to frontend, backend, APIs, and AI workflows in a collaborative environment.
đźđł India â Remote
đ° Secondary Market on 2020-11
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
Node.js
Ruby
ServiceNow
Go
đ July 9
Lead Data Engineer designing and building scalable data solutions to support enterprise analytics and AI/ML. Architecting pipelines with industry-standard tools to ensure compliance and promote self-service analytics.
Azure
PySpark
SQL
Tableau
Terraform