654 data entry work jobs in Bengaluru, India.

• Hybrid
• On-site

700k

... corporate governance data accurate, secure, and easy to use. As a Professional Services Data Entry Specialist, you turn complex client records into clean, reliable datasets and documents that board members, legal, risk, and compliance teams rely on to make decisions. In this role, you'll work hands-on with governance data, migrate ...

• Hybrid

... 15-minute schedules), including idempotency, backfills, and late-arriving data patterns - Experience with orchestration and transformation tooling (e.g., Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets - Comfortable working hybrid in Bengaluru (Whitefield) ...

• On-site

... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...

... Bengaluru office. You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you. Function : Data Science and ...

• Remote
• Contract

... Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering experience. - Strong SQL Server and T-SQL expertise. - Strong experience working in the Azure environment. - Hands-on experience with Azure Data Factory. ...

... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...

• Hybrid

20k

... end-to-end data platform implementations encompassing data ingestion, transformation, storage, processing, governance, and consumption. Architect batch and real-time data pipelines leveraging modern big data frameworks and cloud-native services. Provide technical leadership and hands-on guidance to engineering teams, ensuring solution ...

• Full-time

... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...

• Hybrid

... a multi-layer multi-objective problem space which has a unique impact on Global consumer base and powers assisted AI for our associates. The team consists of data scientists, application engineers, big data geeks and product visionaries all working together to design, prototype and build technology-driven products and experiences ...

... https://jobeax.com/link/uw09q4zp7W2jeNTj :- Design and develop scalable data pipelines using PySpark and Spark SQL on Azure Databricks.- Build and orchestrate ETL workflows using Azure Data Factory (ADF) and ADLS.- Develop and maintain modern Lakehouse architecture while ensuring data quality and reliability.- Monitor production data pipelines, troubleshoot ...

• Remote

10k - 33k

... support business objectives. Lead the design and development of advanced data pipelines, ensuring seamless ETL/ELT of data into enterprise storage systems. Oversee data integration from diverse sources, maintaining data consistency, integrity, and compliance with enterprise standards. Optimize data pipelines and workflows for ...

... analytic skills related to working with structured and unstructured datasets.- Working knowledge of message queuing, stream processing, and highly scalable "big data" stores.- Experience supporting and working with cross-functional teams and Global IT.- Familiarity of working in an agile based working https://jobeax.com/link/1WbmlmCgbnFpHH5X ...

... Hands-on experience with model deployment tools such as Docker, Flask, FastAPI, or cloud-based ML services (AWS SageMaker, GCP Vertex AI, etc.). - Proficiency in working with structured/unstructured data, SQL. Added Advantage: - Experience in Computer Vision (e.g., OpenCV, YOLO, or related frameworks). - Exposure to NLP/LLMs ...

• Hybrid

... role Ethos is seeking a Data Engineer to join our Data Platform team and build the internal infrastructure, services, and tooling that the rest of the company's data stack runs on. This is a software engineering role with a deep data background. You will design and operate distributed workflow systems on Temporal and Airflow, ...

• Hybrid
• On-site

... DBs Proficiency in performance tuning, query optimization, and indexing strategies Hands-on experience with backup/restore strategies and disaster recovery planning Familiarity with cloud migration tools and hybrid environments Knowledge of SSIS, SSRS, and SSAS Understanding of data governance and compliance frameworks

• Full-time

... evolving data needs, fostering collaboration with different teams to support organizational objectives. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Monitor and optimize data workflows to enhance performance and reliability. Document data processes and maintain ...

• Full-time

... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...

... business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance principles, practices and frameworks, with experience building enterprise-wide ...

... Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience with Databricks , including Spark, notebooks, and distributed data processing. - Practical exposure to Machine Learning and Deep Learning model development and deployment. - Experience working with large, complex datasets in ...

... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...