227 data entry work jobs in Pune, India.

Data Scientist – Snowflake + Agentic AI / Cortex AI

... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...

... data, and technology within group frameworks and multiple data repositories. Advocate for the adoption of a standardized taxonomies across architecture, and work with different Lines of Business (LoB) and governance bodies to define and create data assets to produce architecture insights Support data analysis efforts across ...

... Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub and Logic App for event-driven data architectures 9. Expertise in Microsoft Purview for data governance 10. Working knowledge of Azure Monitoring and Data Explorer Preferred Skills: 1. Experience ...

... Azure Service Bus. Knowledge of CI/CD practices. Ability to work independently and within Agile teams. Experience with Azure cloud services. Exposure to Master Data Management (MDM). Python skills for data transformation and pipeline automation. Understanding data mesh principles. Strong prioritization and multitasking abilities. ...

... complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to ...

... Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, REST API design, Pydantic models, Async programming, Modular ...

... knowledge of windowing functions, subqueries, and various types of joins. Experience working with Big Data technologies like PySpark/ Hadoop 1-2 years of experience working on Data Engineering projects for Data Engineer I - 2-5 years of experience working on Data Engineering projects for Data Engineer II - 1-5 years of Hands-on ...

... Snowflake, Databricks, Oracle, SQL Server, or PostgreSQL . Experience in working with one of the cloud platforms Azure, AWS, GCP(preferred) Understanding of data warehousing, ETL/ELT, data integration, and data lake/lakehouse architectures . Knowledge of metadata management, data lineage, master/reference data, and data ...

... AWS Glue, Pyspark, SQL, ETL, Unix, Iceberg, Astronomer, DW concepts Strong understanding of data pipeline architecture and design principles. Experience with data warehousing solutions and ETL processes. Familiarity with cloud computing services and data storage solutions. Ability to troubleshoot and optimize data workflows ...

... tools, writing complex SQL queries.- Data preparation, data analysis, identify insights from raw data.- Analyses metrics, key indicators and other available data sources to discover root causes of process defects.- Experience in articulating and translating business questions using statistical techniques.- Good working ...

... cross-organizational and cross-divisional projects automating our data value chain processes Promoting technical best practices throughout the data organization Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data. Mentor data team members ...

... machine learning models into data pipelines for enhanced data processing. - Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? - Proficiency in Python, SQL, and database management. - Experience with Data Pipelines ETL, Cloud Services ...

... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...

Qualification : BE/B.Tech/M.Tech - Computer/IT Experience : 3 to 5 Years Roles & Responsibilities: - Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation - Experience working with and creating cloud data solutions - Assemble large, complex data sets that meet functional/non-functional ...

Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...

... PySpark, and SQL. - Strong understanding of data modelling. - Strong knowledge of query performance tuning and optimisation techniques. 5+ years' experience as a data engineer in complex data ecosystem. - Extensive experience working in an agile environment. - Experience with cloud data platforms like AWS Redshift, Databricks. ...

... and build scalable data processing systems. The ideal candidate should have hands-on experience working with large datasets, distributed computing, and modern data architectures. Key Responsibilities Design, develop, and maintain big data pipelines using Hadoop and Spark Build scalable data processing frameworks using Scala ...

... that span multiple data pipelines, data architectures, and other data consumers. Lead the design, development, and maintenance of robust, scalable cloud-based data processing pipelines and infrastructure, ensuring adherence to engineering standards, governance frameworks, and industry best practices. Architect and refine ...

... including RDBMS, NoSQL databases, and data warehouses Develop and maintain scalable data pipelines for batch and stream processing using JVM-based languages and frameworks Collaborate with cross-functional teams to integrate diverse data sources into the data ecosystem Utilize AWS services for data storage, integration, and streaming ...