... and efficient data pipelines, data models, and data integration processes Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs Ensure data quality and integrity by implementing data validation and cleansing processes Optimize data engineering processes ...
... with the ability to explain complex technical findings clearly to both technical and cross-functional stakeholders. - Ability to collaborate effectively across data science, security, operations, customer-facing, and engineering teams. Benefits - Permanent workplace flexibility with the ability to work from home, from an ...
... data from multiple enterprise systems. • Understand and document finance-related business logic and technical data flows. • Support integration of SAP financial data into reporting and planning solutions. • Collaborate with global stakeholders to gather and clarify business requirements. • Support data modelling and data transformation ...
... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...
... Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, analysing, and remediating data at scale ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 ...
... bridge high-level data strategy with hands-on engineering. The role will own the design, architecture, governance, and technical direction of enterprise-grade data platforms using modern cloud and distributed-computing technologies. The ideal candidate will bring deep experience in Azure data architecture, Databricks/Snowflake, ...
... https://jobeax.com/link/eLxO3SLmpqvNPOZi : - Strong hands-on Databricks Architect/Databricks Engineer Profile with end-to-end build-and-solution capability and Databricks professional certification.- Must have 6+ years in Data engineering/Data architect roles, with at least recent 3 years of hands-on Databricks experience.- ...
... Expertise: Expertise in MySQL replication setup (Group Replication, GTID, troubleshooting), setting up HA/DR architectures, conducting DR drills, and executing data migration activities. Data Engineering & Monitoring: Experience with ETL pipelines, data warehousing solutions, and database monitoring tools (Percona Monitoring, ...
"Why work for Accor? We are far more than a worldwide leader. We welcome you as you are and you can find a job and brand that matches your personality.
... experimentation, and modeling Qualifications - 8+ years of progressive data scientist experience, with a significant portion in a strategic or staff/principal/director-level role. - Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred - M.S. or Ph.D. in a related field ...
... support High Availability, Disaster Recovery, and Database Capacity Management. Be part of a global team that provided 24/7 databases support. Help Identify database tools which enable efficient database development, management, and utilization. Required Skills and Experience: - BS/BA in Computer Engineering, MIS or equivalent ...
... repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data engineering, integrating with PACS or XNAT, and ...
... and improve data quality. Monitor pipeline reliability, data availability and performance. What we're looking for - 5+ years of experience in Data Engineering, Data Operations or a related field. - Strong experience with GCP and Azure data platforms. - Hands-on experience in data pipelines, ETL, databases and data warehousing. ...
... challenges, and coordination needs - No deep design knowledge required — focus is on execution and management Qualifications and Skills : - Bachelor's degree in engineering (Mechanical / Electrical) - 8–12 years of experience in project execution / project management roles - Strong experience in planning, coordination, and site ...
... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... https://jobeax.com/link/GEnvHPnJ23cIYVmv where 60–70%+ of experience is in GenAI, LLMs, RAG systems, or applied AI with no classical ML grounding Python used exclusively for backend/software engineering — not data science Step 3: Increase your chances to get shortlisted & meet the client for the Interview! Our role will be to help all our talents find and ...
... Record-to-Report, and Plan-to-Produce - and apply that context to ground AI solutions in real enterprise reality. - Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable AI workflows. - Collaborate across product, engineering, ...