... Collaborate with stakeholders and engineering teams- Communicate analytical insights to non-technical audiencesRequired Skills :- 6 - 10 years of experience in data science / optimization- Strong experience in Python and Gurobi- Hands-on experience with linear optimization- Experience working with large datasets- Familiarity ...
... scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact A Senior Architect – Data Centre is responsible for leading architectural design and execution across all project phases, from concept to construction. The role involves expertise in space ...
... Data Platform & Orchestration is seeking a Lead Data Engineer to design and build next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and ...
... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...
... time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. - analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. - drive ...
... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...
... to have) Version control: Git / GitHub Cloud exposure: AWS, Azure, or GCP Data platforms: Snowflake / BigQuery / Redshift (preferred) Understanding of ETL and data pipelines Business & Domain Exposure: Ability to convert business problems into data-driven solutions Experience working with large, real-world datasets Strong ...
... development, tools, and procedures; Provide end-user support including setup, installation, and maintenance for applications. Bachelor's Degree in Computer Science, Data Science, or a related field; Internship experience in Data or Software Engineering; Knowledge of developing dimensional data models and awareness of the advantages ...
... environments. Database Advanced SQL Server expertise. Query tuning and performance optimization. Data modeling (star schema, dimensional modeling). Cloud and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration ...
... complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore large datasets and translate analysis into clear findings, recommendations, and actionable insights. Experience working with large volumes of data and understanding of performance ...
... analytical Data Analyst with a strong accounting and finance background to join our team. The ideal candidate will have a minimum of 3 years of proven experience in data analysis, financial reporting, dashboard development, and business intelligence solutions. This role requires expertise in Power BI, data visualization, financial ...
... and efficient data integration.- Develop and optimize database objects, including stored procedures, functions, views, and triggers, to ensure performance and data integrity.- Manage data ingestion, transformation, quality, governance, security, and compliance across multiple data sources.- Lead data engineering initiatives, ...
... events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner - Develop robust and scalable backend integrations with external applications - Define deliverables towards key projects, de-risking projects ...
... Architect and implement scalable microservices using Java and Golang to support high-concurrency environments and improve system throughput.- Optimize existing backend services by refactoring code and improving database queries to reduce latency and enhance overall application performance.- Collaborate with the DevOps team ...
... experience in the Big Data Ecosystem. Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems. Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle ...
... Have :- SAP Business Data Cloud data products / BTP administration.- SAP Databricks / Databricks (PySpark, Delta Lake, Unity Catalog).- Git-based workflows, CI/CD for data artefacts (abapGit, gCTS).- Microsoft Fabric / Power BI exposure.- SAP certification (Datasphere, HANA Cloud Modeling, or BW/4HANA). (ref:hirist.tech)
... key responsibilities: - Providing Application Database and Replication support for a large DB2 z/OS sysplex environment - Providing Application Database and Data Migration support for an established cloud-based database infrastructure - SQL tuning and Performance on both Db2 and PostgreSQL - Maintenance of Databases – ...