... understand data requirements and deliver data solutions Ensure data quality governance lineage and security standards are maintained Monitor troubleshoot and optimize data workflows and pipeline performance Technical Requirements: Databricks Certification Azure Data Engineer Associate Certification AWS Data Analytics Certification ...
We are seeking a Lead Product Engineer with 5 to 7 years of experience to architect and drive the execution of user-facing products powered by distributed cloud architectures and agentic AI systems. In this role, you will lead full-stack engineering initiatives, mentor junior/mid-level engineers, define core architectural ...
... focused on Supply Chain and Commercial. We are looking for (senior) data engineers to join our high performing team. We aim to attract and further develop the best Data Science & Supply Chain talent. Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing ...
... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...
... lifecycle process for application and infrastructure as code workloads. Lead the automation of business continuity/disaster recovery processes. Participate in and lead rotational 24x7 on-call duties. Conduct root cause analysis for service performance incidents and lead remediation efforts. Impact You'll Make: Deep understanding ...
... conference https://jobeax.com/link/xEpK8Uj8uwkh8DUJ You Bring :- 5+ years in data engineering/analytics with proven SAP data platform delivery.- Hands-on: SAP Datasphere (2+ yrs), HANA/HANA Cloud modeling (4+ yrs), BW/4HANA or BW-on-HANA (3+ yrs).- 2+ end-to-end Datasphere or BW/4HANA implementations in a build/lead role.- ...
... consistent access to trusted data at enterprise scale. Senior Data Engineers work closely with Data Product Managers, Architects, Domain SMEs, and Platform Engineering to translate business requirements into robust technical solutions using modern data engineering patterns and cloud-native tooling. The role supports the ...
... testing pipelines with high code coverage, ensuring zero critical regressions and rock-solid continuous delivery. Months 4–12 : Drive Architectural Evolution: Lead multi-quarter architectural epics, mentor senior engineers, and optimize distributed event streams and data pipelines for enterprise scale. Preferred Qualifications ...
Qualification : BE/B.Tech/M.Tech - Computer/IT Experience : 3 to 5 Years Roles & Responsibilities: - Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation - Experience working with and creating cloud data solutions - Assemble large, complex data sets that meet functional/non-functional ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...
Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...
... techniques. 5+ years' experience as a data engineer in complex data ecosystem. - Extensive experience working in an agile environment. - Experience with cloud data platforms like AWS Redshift, Databricks. - Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global ...
... Join QAD, where we are redefining the supply chain through our intelligent, adaptive platform—a single System of Action that connects people, processes, and data. As a Senior Software Engineer, you will be a fully qualified, experienced professional responsible for the implementation and delivery of our enterprise-scale ...
... frameworks using Scala and Spark Develop and optimize Hive queries and SQL scripts for large datasets Work with distributed storage systems like HDFS Perform data ingestion, transformation, and processing (ETL/ELT) Optimize performance of Spark jobs and Hadoop workloads Collaborate with data engineers, analysts, and business ...
... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...
... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate : - Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
Key Responsibilities :- Lead the design, development, and delivery of scalable Java-based applications for banking and financial services.- Provide technical leadership to development teams and drive application architecture and design decisions.- Develop and maintain high-performance backend services and microservices ...
... deployment and monitoring of ML models in production Ensure infrastructure and services align with security guidelines and relevant regulatory standards Partner with data engineers and data scientists to make AI systems production-ready Foster a reliability-first culture across engineering teams Contribute to on-call rotations ...