2,152 offline data entry jobs in India.

... understanding of ETL/ELT concepts, data integration, data transformation, and data warehousing.- Experience designing and implementing data pipelines using multiple data sources.- Good understanding of Azure cloud services, security, networking, and data platform architecture.- Experience working with ERP data and ERP data flows.- ...

... collaborate alongside data team members based in Ireland, USA and India. Following the successful delivery of some fantastic products in 2024, we have embarked upon a data-driven strategy in 2025. We have a huge amount of data and are keen to accelerate unlocking its value to delight our customers and colleagues. You will be tasked ...

Data Scientist :- Bangalore, Chennai, Pune Location India - Bangalore, Chennai, Pune Salary INR 700000 - 900000 Experience 2 - 4 Years Compensation Details Role: Data ScientistExperience Level: Bachelor's/Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. ...

... scalable data capabilities Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives ...

... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...

... hands-on sessions on database concepts such as relational models, SQL, NoSQL, normalization, and database design. Teach advanced topics like query optimization, database security, data warehousing, and cloud databases. Build real-world capstone projects that combine data visualization with AI/ML applications. Stay up to date ...

... in Python and related data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.). - Experience with Firebase, REST APIs, and cloud-based data integration. - Advanced skills in data visualization and BI tools (Looker Studio, Tableau, or Power BI). - Solid understanding of data architecture, data modeling, ...

... experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with experience in data for real-time and streaming data - Experience building executive-ready dashboards and BI reporting for large-scale programs - Solid understanding of marketplace ...

... shape the future of clinical development. As a Senior Clinical Data Science Lead at ICON, you will lead the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. What You Will Do: You will oversee clinical data science workstreams, ensuring deliverables meet quality and timeline ...

... (RCA) and drive permanent resolutions. Participate in on-call support and major incident management (P1/P2 incidents). Troubleshoot application, middleware, and database issues. Execute change requests (CRQs) following approved implementation plans and MOPs. Support patching activities and certificate renewals. Work with cross-functional ...

... technical teams. - Technical Skills: - Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). - Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., ...

... object-oriented programming principles. - Experience developing backend services, APIs, and distributed applications. - 2+ years of experience working with SQL databases, including schema design and data modelling. - Experience with message-based/event-driven architectures such as Kafka, Pulsar, RabbitMQ, or similar technologies. ...

... years of experience in data management 2+ years of in-depth technical knowledge/expertise in the following Python, Azure services; Azure Data Lake, Azure SQL Data Warehouse/DB, Azure Data Factory, Blob Storage - Experience of at least 2 to 3 projects - Python knowledge and experience for automation - Experience on Data ...

What will you be doing Installing, configuring and upgrading Oracle databases. Oracle Administration including: Experience with RAC, RMAN, Data Guard, Golden Gate, Exadata, Performance Tuning, WebLogic middleware - Forms and Reports, Various storage engines, Oracle customer tools, Performance tuning of Oracle databases, ...

Job Description : We are seeking a Senior Data Engineer to design, build, and maintain enterprise-grade Data Warehouses and Lakehouses on AWS. You will be responsible for architecting scalable batch and real-time streaming data pipelines, optimizing big data processing workloads, and ensuring high data reliability across ...

... and NodeJS Exp with JavaScript KEY RESPONSIBILITIES - Manage and execute on backlog of Data Quality work within core data governance tool (ObservePoint). - Own Data Quality tool (ObservePoint), employing historical use and domain knowledge to improve and drive efficiency. - Review and respond to identified data issues on ...

... sort order 6. Apply index-friendly query patterns :- Sargable predicates- Avoiding functions on indexed columns where possible- Minimising implicit casts and datatype mismatches7. Implement resilient pipelines with proper error handling, retry logic, idempotency, and reprocessing/backfill capability. (ref:hirist.tech)

... experience in building robust ETL/ELT pipelines and modern data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities : - Design, develop, and maintain scalable data pipelines using Apache Airflow.- Develop and optimize data transformation models using dbt (Data Build Tool).- Build and manage data solutions on Snowflake.- ...

... business logic, and data transformations across large-scale systems. - Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues. - Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake. ...

... availability and performance. Optimize database queries and indexes for maximum efficiency. Implement backup and recovery strategies for data protection. Monitor database performance and troubleshoot issues as they arise. Collaborate with development teams to design and implement database solutions. Ensure data security and ...