... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...
... 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 ...
... quality, and observability. Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Data modeling & contracts: Define schemas, data contracts, and ...
... practices for data quality, governance, and security in line with company policies. Performance Optimization : Continuously monitor and improve the performance of data systems and pipelines, ensuring low-latency and high-availability. Collaboration : Work closely with cross-functional teams (data scientists, analysts, product ...
Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...
... intelligent conversational interfaces. Role Overview: Position: Generative AI Chatbot & Azure Open AI with LLM and RAG Experience Required: 5+ years in GEN AI (Data Science) Location: Gurgaon /Bangalore /Hyderabad /Pune Employment Type: Permanent Notice Period: Preferred Immediate joiners Key Responsibilities: Design and ...
... Engineering, Data Science or a related field. 10+ years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. Deep expertise in data warehousing, data modeling (dimensional and Data Vault), ETL/ELT design and big data technologies. ...
... with demonstrated expertise in enterprise data management and related technologies - 5-10 years of data architecture experience - Thorough knowledge of Erwin Data Modeler - Thorough knowledge of data warehousing concepts and the ability to create a dimensional design - Strong understanding of data modeling best practices ...
... accountable for delivering exceptional results. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation ...
We are hiring for Senior Data Engineer (MS Fabric & Telecom) Work location: Bangalore, Karnataka, India Experince: 8 to 10 years Notice: Imdiate to 30 days only Role Overview As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of ...
Pro Arch is seeking a Senior Data Engineer with 3-5 years of experience to join our Data & Analytics practice. In this role, you will design and deliver scalable data solutions, optimize performance, and enable advanced analytics across cloud platforms. You will work with large-scale datasets, modern cloud-native technologies, ...
... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...
... 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 ...
... age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure ...
... size of 2-3 analysts - Problem solving within the constraints of a corporate IT environment. - Data Engineering and Data transformation skills – SQL or Oracle Data Visualization – Power BI is a must have, tableau or Qlik would be a good to have Exposure and familiarity with cloud platforms like Databricks on Azure and AWS ...
... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...
... using Python. Strong proficiency in Python and object-orientated programming. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL. Experience with version control systems such as Git. Familiarity with Docker for containerisation. Experience with microservices ...
Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...
... accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Deliver impactful solutionsby executing highleverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes. Lead the design and implementationof ...