... processing pipelines . Develop data solutions for Data Warehouses and Data Lakes . Implement data validation, reconciliation, exception handling, monitoring, and data quality controls. Optimize pipeline performance, query execution, resource utilization, and processing costs. Develop reusable data engineering frameworks, utilities, ...
... knowledge in the Big data tools such as AWS Redshift, Hadoop, map reduce etc. u2022 Having knowledge in tools like Airflow, AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable u2022 Assists in solving data engineering challenges by analyzing data issues and applying simple solutions, working under ...
... models. Translate business and risk questions into well-defined analytical approaches, model specifications, and measurable outcomes. Prepare and analyze complex datasets, conduct exploratory analysis, engineer features, and establish reproducible modeling datasets and workflows. Apply appropriate statistical techniques, assumptions, ...
... debugging, and root-cause analysis. Database & Data Technologies Work with relational databases such as PostgreSQL, MySQL, or SQL Server . Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis is desirable. Design efficient database schemas, queries, indexes, and data-access layers. Understand caching, transaction ...
Job Overview: Our client is seeking a detail-oriented and reliable full-time Data Entry Specialist to join their Accounting department. In this role, you will be responsible for entering and maintaining complete, accurate order information across Asana, QuickBooks, and internal job schedule spreadsheets. Working closely ...
... Makes This Role DifferentReal clinical https://jobeax.com/link/RNLbMbEnEwXbYWSb will work with longitudinal healthcare data generated through actual clinical workflows, not synthetic datasets or toy https://jobeax.com/link/DDPkqGgH9VaQiarY https://jobeax.com/link/yJruSCeCDxo3O8TB data is noisy, incomplete, heterogeneous ...
... Operating Plans & Strategic Plans when necessary Performance Tracking: Monitor KPIs, campaign effectiveness, and category performance to refine strategies. Deep work with data & dashboards Work with Commercial Excellence Team to build right IT & Data Tools for Trade Spends Management & Claims Management Automation Team Leadership: ...
... domain and business knowledge to create a holistic POV and strategic approach that supports the overall Agentforce and Data Cloud strategy and customer success, working with stakeholders across the organization. Participate in improving the CSS adoption score / customer health for Agentforce and Data Cloud. Work with other ...
... 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 ...
About the Role : As a Senior Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, ...
... Responsibilities : - Design, develop, and support Temenos T24/Transact integrations and customizations.- Develop and maintain integrations using Integration Framework, TWS, OFS, IRIS Framework, and Data Streaming.- Work with TAFC and TAFJ frameworks for T24 application development and integration.- Develop and support integrations ...
Key Responsibilities:- Design, develop, and maintain scalable data pipelines for batch and real-time processing.- Develop and optimize ETL/ELT workflows for data ingestion, transformation, and loading.- Develop and manage data models, data lakes, and data warehouses.- Optimize database performance, SQL queries, and query ...
... foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community. The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens ...
... a range of training programs and digital learning initiatives. This role will assist in instructional design to enhance e-learning content, analyze learning data, and work closely with key stakeholders to improve the effectiveness of digital learning. This position will also be responsible for managing and delivering new ...
... needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible ...
... Data processing frameworks and data lakes to handle structured and unstructured data. Collaborate with data scientists, analysts, and other engineers to ensure data accuracy and availability. Implement data ingestion strategies, ensuring the secure and efficient movement of data across different storage solutions. Work on ...
... handling structured, execution-focused HR support tasks in a remote work environment. Role Overview The HR Assistant will support the HR team with day-to-day data management, tracking, and coordination activities. The role focuses on accurate data handling, task updates, and maintaining organised HR records while working ...
Tiger Analytics is a global analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. Working at Tiger, you'll be at the heart of this AI revolution. You'll ...
... professional with strong hands-on experience in Alteryx and Tableau to develop data workflows, automate data preparation, support enterprise reporting, and ensure data quality across business reporting environments. The role will work closely with business and technology stakeholders to deliver reliable and scalable data and ...
... security and data privacy. You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills You will have 5+ years of 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, ...