1,838 numerical data entry jobs in India.

... Teradata, Python and Julia.- The candidate must have experience in Python and Julia for data processing, analysis and automation.- 2-4 years of experience in Teradata, Python, and Julia.- Strong experience in data engineering and data analytics.- Good knowledge of Provider domain.- Experience working with Teradata databases.- ...

... multiple data sources, and building semantic data layers for analytics and https://jobeax.com/link/eQK4uag79A3cPnLy Responsibilities :- Design and develop scalable data virtualization solutions using Denodo.- Create and maintain Base Views, Derived Views, Joins, Unions, Interfaces, and Data Services.- Integrate data from multiple ...

... global business forward while being part of a dynamic, cross-continental data community. In this role, you will be a key member of the Supply Chain & Planning Data Domain team. You will get an opportunity to work on a cloud native and modern data platform, building data pipelines to building data models and transformations ...

... delivery with technical excellence.- Create technology and tool evaluation https://jobeax.com/link/nRhKJdDFbgW6SVjl Requirements : - Strong hold on Algorithms and Data Structures.- Exposure to C/C++ programming, STL, and Linux.- Experience in writing multi-threaded applications with good scalability.- Exposure to Exception Handling, ...

... datasets and ensure strong data contracts. Support production operations, including on-call rotations for critical pipelines as needed. Hands-on expertise in GCP data stack: BigQuery, Dataflow (Apache Beam), Dataproc, Cloud Storage, Pub/Sub, Cloud Composer (Airflow). Advanced SQL and data modeling: star/snowflake schemas, slowly ...

... clients. 1. Input and update data in MS-Excel spreadsheets with precision and attention to detail. 2. Verify and correct any discrepancies in data to maintain data integrity. 3. Collaborate with team members to ensure timely completion of data entry tasks. 4. Create and maintain accurate records of all data entry activities. ...

... Drive end-to-end insights creation-to-consumption lifecycle, leading business problem definition, designing and delivering the solutions. Oversee the mapping of data sources, data movement with the goal of ensuring data quality. Active participation in the trouble shooting issues including root cause analysis. Designing documents ...

... Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors. About the role:- We are looking for a Data Engineer II (SDE-2) to join our data team. The ideal candidate will be a play a key role to develop of high performant and scalable Data Lake-house , moving us toward a world of sub-minute data latency ...

... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...

Role: Data Engineer - Power BI Modelling Level: 7-15 years Build and maintain Power BI semantic models (DAX, star schemas) for enterprise reporting. Develop PySpark/Python and SQL pipelines feeding the Snowflake environment. Translate reporting requirements into performant data models. Ensure data quality. Validate accuracy ...

... for structured and unstructured data. Integrate data from multiple internal and external sources into centralized systems. Build scalable batch and real-time data processing workflows. Data Infrastructure & Architecture: Develop and maintain data lake, data warehouse, or data mesh architectures. Ensure high availability, ...

... systems.- Develop and maintain documentation for database architecture, processes, and procedures.- Participate in incident response and root cause analysis for database-related https://jobeax.com/link/7NJ8ZNIfjPTQ4sPG : - 7+ years of experience in database administration.- Expertise in SQL Server; experience with NoSQL databases ...

... written and verbal communication skills in English. Experience with cloud technologies and distributed systems. Experience with data transformation frameworks and data pipeline orchestration tools. Experience managing large volumes of data and optimizing data processing. Understanding of event-based architecture, data streaming, ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

Role: We're looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You'll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, ...

... In this regards, the LIQ PBR data analyst will work with Liquidity SMEs to document BDEs that require to be traced from upstream sources, liaise with upstream data source RTB teams to develop a data flow architecture for the movement of data, further request sample transactional and other data to test the data per test cases ...

We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...

... or Azure in microservices architectures.- Thrives in fast-moving startup environments with high ownership and ambiguity.- Strong Python skills with focus in data engineering and data analysis, including proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy and Pandas.- Strong understanding of machine ...

... Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).- Proven expertise in deploying ML models into production systems.- Experience with big data platforms (Hadoop, Spark) and distributed data processing.- Hands-on experience with Databricks, Airflow, and AWS EMR.- Strong knowledge of AWS cloud services ...

... of CI/CD tools. Govern end-to-end data architecture with a focus on data quality, security, compliance, and lifecycle management. Build efficient and scalable data models ensuring optimal query performance and responsiveness. Ensure seamless data flow across ingestion layers, data models, and visualization outputs. Conduct ...