17,184 data entry operator remote jobs in India.

... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...

... troubleshooting with IT/security teams. Required Skills and Experience Foundational experience in data engineering, data pipelines, ETL/ELT, data transformation, or cloud data platforms. Working knowledge of SQL and Python exposure to Spark, notebooks, or distributed data processing is preferred. Basic understanding of data modeling, ...

... implementing the chosen data model using the appropriate technology stack. - You will collaborate with the team on the areas of data governance, data security and data privacy. - You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills - You will have 5+ years of experience in Data engineering. ...

... Main Responsibilities - Responsible for CRF design (Unique) in the EDC database, screens design, Data Validation Plan writing, edit checks programming in EDC database as per the study specifications, and writing listings specifications. - Work closely with the Data Manager & Lead Data Manager responsible for the study under ...

Remote - India Job Description This position is responsible for coordinating and executing data management activities of a clinical trial. Responsibilities include supporting the development and maintenance of data management documentation, performing data quality and validation checks, reviewing and verifying data management ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients' success. The Enterprise Data Platforms team designs and delivers secure, scalable, cloud-native technology solutions that support critical business capabilities. The team brings together ...

... with Apache Airflow — DAG design, operator customisation, dependency management, and operational best practices - Solid understanding of dimensional modelling, data vault, and semantic layer design Technical Skills — Preferred - Experience designing data pipelines and feature engineering workflows for ML model training and ...

... data. Experience with data quality assurance processes. Ability to handle confidential data with discretion. Experience in developing reports and conducting data analysis. Knowledge of designing and managing reporting environments, including data sources, security, and metadata. Understanding of data warehousing concepts ...

... ambitions. We are currently seeking an experienced professional to join our team in the role of Data Test Analyst Purpose of the role The role resides within the Data Management Change Team, reporting to the Data Change Lead in Bangalore. The position is for a Data Business Analyst within the Data Analytics Office, focused ...

... implement data fabric solutions leveraging Azure, Microsoft Fabric, and modern cloud technologies. - Build and optimize scalable data pipelines using Pyspark, Azure Databricks, and Azure Data Factory. - Develop robust data models and maintain data storage solutions using Azure SQL and Parquet. - Ensure data quality, security, ...

... initiatives Strong experience in data analysis and implementing solutions within the Architecture space Must have Hands on experience in RDBMS in any one of the databases like Teradata/ MS SQL Server/Oracle/ IBM DB2/ Mongo DB along with Data Lineage, Data integrity and Data Analysis skills Technical skills in technologies ...

... DataStage, Informatica, Spark or related . ➢ Experience with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related. ➢ Strong familiarity with EDC Systems: Rave, Trial Master, InForm, ...

... high-concurrency, real-time data - Mastery of specialized data quality tools (e.g., Great Expectations, Monte Carlo). - Proficiency with cloud platforms and data warehouses (e.g., AWS, Databricks, Snowflake). - Familiarity with A/B testing frameworks and the nuances of experimentation - Knowledge of global data privacy ...

... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...

... you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full ...

... 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 ...

This role is for one of our clients Industry: IT Services and IT Consulting Seniority level: Mid-Senior level Min Experience: 7+ years Location: Bengaluru, Karnataka, India, Pune, Gurugram, Haryana, India JobType: full-time

... 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 ...

... unstructured data for downstream analytics.- Develop and optimize ETL processes to ensure high data quality, consistency, and availability across the enterprise data warehouse.- Manage real-time data streaming architectures using Confluent Kafka to support low-latency data consumption and event-driven applications.- Collaborate ...