99 offline data entry jobs in India, India.

... transformations, and performance tuning. - Good experience with Python for data processing, automation, and Lambda development. - Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance ...

... fintech and lending company that provides funding solutions to businesses across multiple industries in the United States and UK. Cashera combines technology, data-driven decision-making, and industry expertise to deliver fast, flexible financing options that traditional lenders often cannot provide. As a Senior Data Scientist ...

Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...

... solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, ...

... intersection of business knowledge and data governance, acting as the day-to-day guardian of data quality, metadata, and accountability for a defined set of data https://jobeax.com/link/Tz8QBxhdVa4wtgEC Responsibilities :Metadata & Data Catalog :- Own the collection, quality, and ongoing curation of metadata for data assets ...

... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...

... or related field.- Experience : 8+ years in data engineering, data management, AI data foundations, or adjacent technology leadership with proven ownership of data products or critical pipelines delivering measurable business impact.- Technical : Hands-on with AWS, Databricks, Delta Lake, Unity Catalog, data lineage, observability, ...

... build high throughput services Designing and implementing code in SQL/Python Good understanding and implementation experience in Data Governance, Data Quality, Data Modelling etc. Ensure projects are delivered on time and to the satisfaction of the stakeholder Experience required - 7+ years of experience as a data engineer/similar ...

... experience in the Big Data Ecosystem. Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems. Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle ...

... data tools: . Data ingestion: to ingest the data from a data source . Data processing: to process, transform and distribute the data to the target location . Data exposition : to distribute and expose the data hosted in the data platform . Data cleaning: to purge the data on the Lake in a secure way . Data tools: data formatter, ...

... Maintain organized digital records while safeguarding confidential customer, payment, and financial information. Support the Controller and Accounting team with data reviews, record corrections, reporting, and general administrative duties as needed. Previous experience in data entry, order processing, administrative support, ...

... well-documented code in Python, leveraging libraries such as pandas, scikit-learn, statsmodels, and Prophet. Use SQL and PySpark to extract, transform, and analyze large datasets from cloud-based data platforms. Collaborate with data engineers and software developers to integrate models into production systems. Monitor model performance ...

... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)

... tenant data warehouse layer that underpins multi-tenant AI Agent workloads. - Build and govern the Data Agent layer that supplies on-prem/customer-controlled data to cloud LLM reasoning in the Hybrid AI zone, with staged, explainable data outputs and human review checkpoints. - Define data classification and routing rules ...

... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...

... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...

... integration experience is a plus. Certification in public cloud (Azure or AWS) Typescript programming is a plus. This is an opportunity for a highly motivatedData Engineer to join the Event Streaming and Data Replication platform. We are a diverse, open, and transparent community where you will contribute to powering the ...

... positive business impact. The Data Associate must have a passion for data, efficiency, and accuracy and will work under the direction of Operations manager and Sr. Data Associates. Specifically, the Data Associate will: - Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment - Deliver ...

... Redshift manage WLM queues, distribution/sort keys, materialized views, and query performance proactively identify and resolve performance bottlenecks. Manage big data lifecycle - design data models and schemas (star/snowflake), enforce data partitioning and retention policies, implement data quality checks, and ensure data ...

... including HDFS, Hive, Spark, and Impala. Experience building and supporting Data Lakes, Data Warehouses, and Enterprise Data Platforms. Strong experience in data modelling, source-to-target mappings, data transformation, and data integration. Knowledge of data quality, data governance, metadata management, and data security ...