... understanding of principles and best practices. - Proficient in using document management software and systems; familiarity with document imaging techniques and scanning technology. - System integration concepts API-based document sync, metadata mapping between systems. - Solid understanding of document retention, data privacy, ...
... 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 ...
... build Infrastructure o Demonstrate a good grasp of multiple operating systemso Demonstrate a good grasp of scripting techniqueso Demonstrate expertise in one database & good grasp of multiple data storage paradigms and when to apply other technologieso Understand and can automate PaaS technologieso Understand when to apply ...
Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers ...
... manage OneTrust modules DSR DPIA RoPA Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory ...
... Senior Data Engineer You will play a pivotal role in driving business outcomes through effective data management and analysis. Enhancing Decision Making with Data Ensuring Data Security and Compliance Future Trends in Data Engineering Design and develop highly reliable and scalable data pipelines and data platforms with ...
... resolve risk, conduct and compliance matters. Skills And Experience Data Engineering SQL Unix Scripting Devops Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field. 10+ years of experience in data engineering Strong proficiency in Python, Python-spark, shell scripting and SQL, with ...
... computation so models can be retrained quickly and reliably. Collaborate with data engineers to implement scalable pipelines on Azure (Data Factory, Data Lake, Databricks) and deploy models via CI/CD processes (e.g. using Azure DevOps or similar tools). Ensure solutions adhere to secure coding practices and data governance ...
... implementing batch and real-time data pipelines , data migration solutions, and scalable data-layer architectures across the GCP ecosystem is highly desirable. Data Warehouse & Data Modeling Strong understanding of: Data Warehouse Architecture Data Lake vs. Data Warehouse Star Schema Snowflake Schema Fact & Dimension Modeling ...
... transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies u2022 Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance u2022 Strong knowledge in the Big data tools such as AWS Redshift, Hadoop, map reduce etc. ...
Senior Data Engineer II Join our Data Engineering, Analytics & Intelligence team The Data Engineering, Analytics & Intelligence team is the engine behind our data-driven culture. We partner across the enterprise—from Finance (Accounting, Customer Revenue Operations, Business Finance) to Sales and Marketing—to build the ...
... 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 ...
... Service Collection roadmap. If you love blazing new innovative trails, making the complex simple and driving decision-making speed across business units with data insights, then read on! Atlassian is looking for a Principal Data Scientist to be the wizard who will uncover valuable insights from large amounts of data which ...
... experience in Data engineering. Pyspark with GCP and AWS,Snowflake and Data bricks are required skills. Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. ...
... patient behaviour modellingHealthcare recommendation systemsMedical NLP and clinical language understandingData quality and clinical entity modellingFeatures and datasets for foundation and generative AI modelsYou will work closely with ML engineers, clinicians, product managers and data engineers to take ideas from research ...
Data Modeller / Data Engineer Location – PAN India As a Senior Data Modeller / Data Engineer, you will be responsible for designing and implementing enterprise‑grade data models and scalable data engineering solutions across cloud and on‑premise ecosystems. The role requires deep expertise in conceptual, logical, and physical ...
... https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :- Design, develop, and maintain scalable data pipelines using Azure data services.- Build and optimize ETL/ELT processes using Azure Data Factory (ADF).- Develop data integration solutions using Azure Databricks, PySpark, and Spark SQL.- Design and implement data lakes using Azure Data Lake Storage ...
... improved efficiency, and stronger operational performance. Role: Senior Data Scientist Location: Bangalore- Karnataka (Hybrid) Experience: 5+ years Department: Data Science Role Overview We are looking for individuals who sit at the intersection of Data Science and Physical Sciences . You understand that industrial data isn't ...
... SAP MDG, or similar data management solutions. - Strong knowledge of SQL, Windows Server, APIs, cloud platforms (Azure and AWS), infrastructure, GitHub, and DataDog. - Understanding of data governance, metadata management, data quality, and master data management concepts. - Experience with automation and scripting tools ...
... Development Team. The ideal candidate should have strong skills in data handling, statistical analysis, and visualization tools, along with the ability to translate data into meaningful insights. Key Responsibilities : Data Analysis : - Collect, clean, and validate large datasets from multiple sources - Analyze data to identify ...