3,641 data entry work jobs in India.

... techniques (Text Classification, NER, Topic Modeling, Sentiment Analysis) and experience with LLMs, LSTMs, GRUs, transformers.- Hands-on experience in Python data-science packages (NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib).- Proficiency in Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, ...

... with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage Airflow workflows and Amazon EMR clusters. Integrate data services with API Gateway and ...

• Remote
• Hybrid
• On-site

1400 / year

... have legal authorization to work in the country where this role is based on the first day of employment. Address client inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach ...

... and business outcomes. - Develop scalable dashboards and reporting solutions to track pricing performance and enable self-serve analytics for commercial teams. Data Science & Decision Support - Utilize advanced data analysis, SQL, and Python to build predictive pricing models, opportunity sizing frameworks, and optimization ...

• Remote
• Contract

... programming for data analysis. Strong understanding of data science methodologies and analysis techniques. Fluent in spoken and written English. A minimum 5-hour work overlap with PST/PT is required. Work with global experts in AI and data science. This is a contractual remote work opportunity without traditional job constraints. ...

• On-site

... years of experience evaluating and implementing data-engineering and software technologies - In addition, you have experience in programming languages and frameworks: SQL, Python, Spark, Databricks (Delta Lake) - Experience in data storages - SQL and NoSQL databases, Azure Data Lake Storage- and in developing data solutions, ...

... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...

... environments (preferably AWS). Document architecture, data flow, and support runbooks; continuously improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. ...

• Hybrid

... maintain workflows using Cloud Composer / Apache Airflow . Develop reusable transformation components, frameworks, and orchestration patterns. Build distributed data-processing solutions using Dataflow / Apache Beam and/or Dataproc / Spark . Design data models for analytical and downstream data products. Implement data-quality ...

... datasets, building data pipelines, and writing efficient, scalable Python code. Key Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. ...

• Remote

... Google Sheets (Advanced) Proficiency in Python or R Experience with Power BI / Tableau / Looker Understanding of statistics and data modeling Basic knowledge of databases and data warehousing Soft Skills: Strong analytical thinking Attention to detail Good communication skills Ability to work independently in a remote setup

... Experience designing data science solutions to business problems - Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. - Comfortable with large scale data processing and distributed computing - Allocates workload among team members and by taking into consideration ...

• Hybrid

... platforms Design & deliver data warehousing solutions and key data engineering workstreams for any required solution. Support cross-functional teams across the data space. 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL ...

• Full-time

... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...

... techniques (Text Classification, NER, Topic Modeling, Sentiment Analysis) and experience with LLMs, LSTMs, GRUs, transformers.- Hands-on experience in Python data-science packages (NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib).- Proficiency in Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, ...

... orchestrate datasets. Perform routine data monitoring, quality checks, and troubleshooting to maintain data integrity and workflow performance. Collaborate with data analysts, data scientists, and senior engineers to deliver data solutions. Document workflows, dataset schemas, and data engineering best practices. Required ...

• Remote
• Hybrid
• On-site

... business hours for planning and monitoring Weekends and out-of-hours work for physical infrastructure changes (with time off provided during the week) As our next Data Centre Engineer, you'll need to have: Attention to detail within a data center. Ability to identify basic parts of network equipment – SFPs, line cards, chassis. ...

... orchestration and automation of data workflows. Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage. Work with cross-functional teams to understand data needs and deliver high-quality solutions. Troubleshoot and resolve data pipeline issues in production environments. ...

• Contract

... Own end-to-end delivery of data products—from raw source data ingestion through transformation to governed, consumption-ready datasets. Collaborate with the Data Platform team on pipeline integration, CI/CD workflows, and adherence to shared coding and deployment standards. - Data Quality & Analysis: Implement data quality ...

... the preliminary investigation for project solutions requests, requirements gathering, collecting data from a variety of sources, evaluating and interpreting data, and drawing conclusions on solution options Provide input into system fit/gap analysis and design decisions Work with Solution Architects to identify system ...