2,686 office data entry jobs in India.

... Solutions Architect - Data Engineering based in India. This is a senior, client-facing opportunity for a technical leader who can transform complex business and data challenges into scalable, production-ready solutions. You will lead architecture and delivery across modern Data & AI platforms while partnering directly with ...

... conception to delivery in Data & Analytics area Good understanding of data modelling and building clean, scalable pipelines. Experience with ETL tools and integrating data from multiple sources. Strong knowledge of data management, data warehousing, and big data technologies. Proficiency in data analytics tools and programming languages ...

... techniques, and perform data mining using state-of-the-art methods. Extend the company's data infrastructure with third-party sources of information and enhance data collection procedures to include all data relevant for building robust analytic systems. Data Quality Assurance: Analysis & Automation: Perform ad-hoc analysis, ...

... https://jobeax.com/link/34bhrmqrKNaUPIfW Description :As a Member of the Data & Analytics team, youll work on transforming data from multiple sources into useful, consistent and easily consumable data elements. Youll strive to continuously improve the data lake and data warehouse and achieve our goals of a best-in-class data https://jobeax.com/link/APpiNK4veXFqKSBZ ...

... Delivery teams (incl. HUB) Technology & Data teams (T&D) Support Teams (IT, HR, etc.) Skills, knowledge and experience required: Advanced knowledge of other Data Processing programming languages and software (e.g. SPSS, Displayr, Python, C, R) Advanced knowledge in MS Office, VBA Macro preferred Working knowledge in Project ...

... detail - Ability to work productively with minimal supervision - Ability to maintain a high degree of confidentiality with clinical data and client's proprietary data - Ability to set and meet timelines or be able to recognize and schedule changes in response to project demands Work is performed in an office environment with ...

... analysis including but not limited to 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 ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks ...

... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...

Job Summary :We are looking for a Java/Scala Data Engineer with strong experience in backend development, distributed systems, messaging platforms, and data engineering. The role involves building scalable applications and data solutions using Java, Scala, Spring Boot, Kafka/MQ, and https://jobeax.com/link/ddHevVfGxaZZMFi7 ...

... to connect various data sources.- Schedule and monitor workflows using Apache Airflow to ensure timely data processing and delivery.- Troubleshoot and resolve data issues as they arise, ensuring data quality and integrity throughout the pipeline.- Document ETL processes, data models, and architecture to maintain clear and ...

... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...

... pipelines. Develop data set processes for data modeling, mining, and production. Analyze and organize raw data, ensuring it is accessible and usable. Collaborate with data scientists and architects on data initiatives and ensure the data is aligned with business needs. Create and maintain data documentation including data flow diagrams ...

... want to work on production systems, not pilots. As a Data Engineer with an AI Analytics specialization, you will own the design and delivery of AI-augmented data pipelines and analytical systems within the CIA with Data and Analytics organization. You will build the data infrastructure that feeds machine learning models ...

HIRING | DATA SCIENTIST We are hiring an experienced Data Scientist for TrueiD Private Limited . Location: Hyderabad Experience: 7–12 Years CTC: ₹42–45 LPA Industry: IT Notice Period: Immediate to 15 Days Employment Type: Full-Time Key Responsibilities - Design, develop and deploy advanced Machine Learning and Data Science ...

... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...

... end-to-end scheduled and event-driven data workflows using AWS Step Functions and AWS Glue Workflows.4. Data Warehousing & Operational Databases : - Enterprise Data Warehousing : Own the architecture, data modeling, and performance tuning in Snowflake to support downstream BI, connected-fleet dashboards, and data science ...

... and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and scalability. Lead troubleshooting and debugging efforts for data-related issues. Document data workflows, architectures, and ...

... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...

... Deployment) for automated deployment and testing of data solutions. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data products. Ensure data quality, reliability, and security within the data ecosystem. Skills Required: AWS certification . Proficiency in AWS Big Data Services ...