About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced ...
... hierarchies to ensure readable and engaging content Design reusable templates for social media channels, marketing materials, and impactful one-pagers Transform raw data and concepts into professional, polished visual assets tailored to specific marketing and communication goals Enforce design quality standards through systematic ...
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Join us as we shape the future of AI and beyond. RTL IP Design Engineer As a member of the Networking Technology Solutions Group, you will help bring to life ...
... behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against ...
... the development of system enhancements. - Work closely with Data Engineering, Product, Accounting, and Tax team members to investigate root causes, validate data fixes, improve reporting logic, and strengthen tax data controls. - Support indirect tax filing preparation by organizing filing data, validating reports, reviewing ...
About this Position The Data Engineer supports the development and operation of Henkel's enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers. As part of a ...
... gathering → implementation → deployment → monitoring Build scalable REST APIs and microservices that orchestrate checks across 80+ compliance vendors (identity verification, sanctions screening, document analysis) Create data pipelines for ingesting, transforming, and routing compliance data at scale Optimize system performance, ...
... Java, JavaScript, or Python OR equivalent experience. Experience building scalable and highly available cloud services spanning multiple regions and/or clouds. Data modeling and big data processing experience Experience in work management and asset inventory systems #This position will be open for a minimum of 5 days, with ...
... & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in performing data extraction, data transformation, building and managing data pipelines to ensure data availability for ML & LLM ...
... conservation at every single opportunity & instance. - Encourage NEFT enrolment for internal & external customers - Participating in Persistency drive by sharing data with sales force & contacting customers for the allocated data base. - Encourage use of self help tools like Go Green, ECS activation, alternate payment options ...
... support Oracle-to-Apache Cassandra data migration activities, ensuring data integrity, consistency, and minimal disruption to business services. Own the Cassandra data-layer architecture and design supporting high-volume, real-time payment transaction processing. Take end-to-end responsibility for keyspace design, data modelling, ...
Data Pipeline Development: Designing and building scalable, efficient, and reliable data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data lakes or data warehouses. - Provide leadership on the migration from Hadoop to Azure and on how we leverage data in multiple ...
... identify opportunities to integrate data/insights into decision-making. Understand and translate business requirements from internal and external stakeholders into data product and features. Process, cleanse, and verify the integrity of data used for analysis. Conduct exploratory data analysis to verify the initial hypothesis ...
... mapping rules between source-system data structures and SSPs standardised data models.- Support data profiling, quality assessment and resolution of source-system data issues.- Ensure data integrity throughout the integration lifecycle.4. Reconciliation & Exception Management :- Own transaction-level and data-flow reconciliation ...
The EDO Sustainable1 DATA OPERATIONS team at S&P Global is a project-focused, international group dedicated to excellence in sustainability data management. We are responsible for one of the world's most complete datasets on corporate sustainability, supporting global investors, corporates, and stakeholders with in-depth ...
... restore testing. Execute recovery operations and point-in-time recovery, and take part in disaster recovery drills and documented failover exercises. Manage data movement activities including Data Pump exports and imports, non-production refreshes, and database cloning. Mentor junior engineers, review their work and raise ...
... Verification (VHDL & DO-254)Position OverviewThe Thales India Engineering Competency Center (ECC) is seeking a Hands-on FPGA Engineer to perform complex verification activities using VHDL to meet the DO-254 excellence.QualificationsExperience: 5+ years in FPGA Verification.Industry: Aerospace or Defense background would ...
... SCOPE, Scala, SQL, Python, or C# Data extraction across a wide variety of data sources Data cleaning, preprocessing, and transformation for further analysis by data analysts Data Validation framework from source to endpoints ensuring data quality and integrity Enable the Data Scientists and Analysts to do more with data across ...
... science, Information Security, or related field. - Relevant certifications such as CISSP, CEH, or OSCP are a plus. Responsibilities - 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. - Experience with DSPM tools and integration in hybrid environments. - Familiarity ...
... experience preferred. - Implement data transformations and data structures for data warehouse and lake/repository. - Manage cloud and/or on-premises solutions for data transfer and storage. - Process data using spark (PySpark) - Manage cloud and/or on-premises solutions for data transfer and storage. - Collaborate and work with ...