7,798 data entry manager jobs in India.

... PySpark for large-scale data processing - Working experience with Databricks (Delta Lake, Unity Catalog, notebooks) - Exposure to AI/ML data pipelines — vector databases, embeddings, or RAG architecture is a plus - Experience with cloud data platforms (Azure Data Factory, AWS Glue, or equivalent) - Understanding of data modeling, ...

... Collaboration Translate business requirements into technical data engineering solutions Collaborate with product managers, analysts, and other stakeholders on data needs Participate actively in scrum/agile development processes Provide technical expertise to support strategic decision-making Data Architecture & Design Apply ...

... with SQL, Data Modeling, ETL/Data Warehousing concepts. - Knowledge of API-based and batch integrations. - Experience integrating Varicent with CRM, ERP, and Data Platforms. - Strong analytical, problem-solving, and stakeholder management skills. About NTT DATA NTT DATA is a $30 billion business and technology services ...

Designs and develops data models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity ...

... of experience creating automated solutions for measuring data quality for ETL processes Minimum 1+ year of recent experience working with the following Azure Data Services: Azure Data Catalog, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analysis Services, Azure Data Factory Strong background ...

Role Summary: We are seeking a highly skilled Data Engineer specializing in AWS and Databricks. The ideal candidate will design, build, and maintain scalable data pipelines, ensuring efficient data ingestion, processing, and integration from multiple sources—including Google Analytics event data. This role requires deep ...

Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling ...

... Oracle Database and SQL performance tuning. - Experience working with large datasets and data manipulation. - Experience with job schedulers and ETL tools (e.g., Familiarity with REST APIs and JSON/XML data formats. Exposure to cloud platforms (AWS) is a plus. Knowledge of data modeling and database design best practices.

... experience with modern data stack tools (dbt, Looker, etc.) • Machine learning infrastructure and MLOps architecture expertise • Contributions to open-source data infrastructure projects • Published technical articles, conference talks, or thought leadership in data platforms • Expert knowledge of data privacy frameworks ...

... requirements, understand data needs, and translate them into technical solutions. Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, ...

... developing and maintaining data pipelines writes clean, efficient, and testable code. Data Engineering: Experience with data pipelines, ingestion processes, SQL, and data modeling. AWS: Hands-on with AWS services such as IAM, S3, Glue, Lambda, RDS, Firehose, EventBridge, and CloudWatch understands distributed data systems. CI/CD: ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... You will be a part of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other DataOps teams. This role involves hands-on development work and will directly report to Data Engineering Lead. Must have skills: Azure Databricks, ...

... design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: ...

... systems into offline datastores. Work with Product Managers, BI engineers, Software Engineers and Data Scientists to design, implement and support high quality data products. - Partner with cross functional teams across Devices organization to ingest relevant datasets into the Alexa Smart Home BI data-warehouse. - Collaborate ...

... troubleshoot, and resolve data pipeline failures to ensure data availability and reliability within defined SLAs. Collaborate with Business Intelligence Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. Implement data quality checks, validations, ...

... Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). - 0-2 years of professional experience in Data Science and Analytics. - Strong proficiency in SQL and working with large datasets; experience with Python or similar analytical tools. - Experience with modeling ...

... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...

... evaluation and access-control scenarios by executing and analyzing API requests and responses.- Working knowledge of modern data and analytics platforms, including Databricks, Snowflake, and Azure Synapse Analytics.- Familiarity with data platform architectures, as a significant portion of client applications and data solutions ...

... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...