1,978 real data entry jobs in India.

... 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 ...

Senior Data Scientist About UptimeAI: UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions. Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity ...

... 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 ...

... you have any of the following, we REALLY want you to apply today! - Experience in a SaaS or technology company, ideally with exposure to GTM, Finance, or R&D data - Familiarity with Salesforce reporting and data structures - Experience working with dbt, Snowflake, or similar modern data stack components - Exposure to data ...

... pipelines using tools such as Fabric Data Factory, Azure Data Factory, Databricks, Dataflow, Apache Spark, Apache Airflow.- Expert-level experience with modern data lake architecture, Lakehouse platforms, Medallion Architecture, Delta Lake, Parquet.- Expert-level experience with batch and real-time/streaming ingestion frameworks ...

... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...

... platforms. Strong SQL and data modelling skills with experience designing scalable and reusable data structures. Experience exploring, integrating and engineering data across complex enterprise landscapes and multiple source systems. A solid understanding of data architecture, data governance and modern data engineering principles. ...

... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...

... Exposure to C++ or low-latency environment concepts. - Familiarity with R for research and visualization. - Prior experience in fintech, electronic trading, or a data-heavy research environment is highly valued. - Exposure to ML - Exposure to AI is a big plus Benefits Why This Role Is Rare - Exposure to real-time trading systems ...

... storage. Build and maintain medical imaging data 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 ...

... 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. ...

We are seeking a detail-oriented Data Associate to join our growing team. As a Data Associate, you will work closely with our product managers, financial analysts, and engineers to ensure high-quality data integration, analysis, and maintenance. The ideal candidate will have a passion for working with large datasets, a ...

... 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 ...

... and provide data- driven solutions. Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards. Develop and implement validation processes to ensure data accuracy and consistency. Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.

... understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing ...

... across Manufacturing, Industrial, Consumer, Life Sciences and High-Tech industries. GyanSys provides Digital Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernisation and various AI projects. We are looking to add experienced Data Scientist to expand our Microsoft Practice with the ...

Skills Required ~ Data Science Duties & Responsibilities Advanced statistics, predictive analytics. Advanced object-oriented programming Hadoop, MySQL, TensorFlow, Spark Machine learning, data modeling Good aptitude and communication Education & Training ~ IT Education

About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced ...

About this Position The Data Engineer supports the development and operation of Henkel's enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers. As part of a ...