Data average salary in India, 2025

The ideal candidate will have expertise in Power BI data modelling, master data management, data warehousing, and Azure data platform technologies. Utilize Azure services such as Azure Data Factory, Data Lake, Delta Lake, Data Bricks, and Azure Synapse for data ingestion, processing, and analytics. ...

As an innovative and forward-thinking team, we are seeking a Data Analyst Intern to join our team and contribute to the enhancement of our data analysis and model monitoring capabilities. As a Data Analyst Intern, you will have the exciting opportunity to develop your skills and gain practical exper...

These should include [ETL/ELT, data replication/CDC, message-oriented data movement, API design and access] and upcoming data ingestion and integration technologies such as [stream data integration, CEP and data virtualization]. SQL, PL/SQL, others] for relational databases and certifications on upc...

Support the build of Data Warehouses, Data Marts and Operational Data Stores. Identify data needs, providing guidance on how to extract, transform and load data, and recommend approaches to integrate with master data. The Principal Data Consultant is expected to participate in complex and multidisci...

We are looking for a Data Engineer to focus on building data pipelines to ingest autotuning results into Databricks tables, ensuring querying, post-processing, and analytical capabilities. The ideal candidate will have a strong background in large-scale data processing, Databricks, and data analysis...

Confidentiality and data privacy- Interviewers profile are never shared with customers, never mapped to current company recruiter, never mapped to candidate of interviewers current company. ...

Proven experience as a Salesforce Data Cloud Consultant, with a strong understanding of data architecture, data modelling, and data integration. Design and implement robust data structures and architectures within Data Cloud, ensuring data quality, scalability, and performance. Data Cloud Implementa...

Expert level ability to mine and summarize data from large datasets using MS SQL Server, Oracle. Use operational, survey, voice analytics, and other data sources to uncover and analyze opportunities for efficiency and/or customer experience improvement. Extract, merge, and clean data with expert-lev...

ETL, data engineering, data modeling, data analysis, data warehousing, and related technologies to deliver effective data solutions for our clients. Develop efficient data architectures and robust ETL processes using tools like Azure Data Factory, Databricks, and SQL Server. Proven experience in ETL...

SR-L, Data-centre architecture. Working experience on data center technologies - SDN,Nuage SDWAN, Cisco ACI and Nexus switches. ...

Experience working with Big Data streaming services such as Kinesis, Kafka, etc. Experience working with NoSQL data stores such as HBase, DynamoDB, etc. Experience provisioning RESTful API’s to enable real-time data consumption. Experience working with Hadoop and Big Data processing frameworks (Spar...

Implement and maintain scalable data pipelines for data processing and model training. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. The ideal candidate will have 3-5 years of proven experience in data science, with a strong background in Python programming...

Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Inf...

Title: Lead Technical Consultant (Data Migration). With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, m...

Knowledge of current trends and developments in computer science, software engineering, IT, AI, and data science. ...

Proven experience in data migration, specifically including CAD data. Experience collaborating with customers on migration requirements gathering, source data analysis, and data mapping. Proficiency in database scripting (Oracle/SQL Server) for large dataset analysis. Experience migrating data from ...

Experience with Linux programming, or expertise in the areas of Big Data and/or Data Analytics is plus. Data Analytics, Security, DevOps, Cloud Solutions, Software integrations, Analytics, and security-based technological services. Strong fundamentals in Object-Oriented Design and Data Structures. ...

Fluidata Analytics is a modern data and analytics consultancy firm. Our team of experts provide end-to-end data engineering and analytics solutions to clients by using cutting-edge data technology and methodologies. The ideal candidate will have hands-on experience with SQL, Python, Data warehouse, ...

Experience in working in a data warehouse environment as well as the ability to work with large data volumes from multiple data sources. Deep understanding of relational databases, data systems and data warehouses. Knowledge of other reporting platforms such as: Business Objects, Microsoft Access, w...

Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy development. Cognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Position: Data Scientist (Risk strategy, SME...

We are looking for a Data Engineer to build and maintain robust data pipelines and ensure data availability for analytical purposes. We are looking for Data Engineer. Responsibilities: Design and maintain data pipelines using Spark, Hive, and Hadoop. Implement data governance practices. ...

Confidentiality and data privacy- Interviewers profile are never shared with customers, never mapped to current company recruiter, never mapped to candidate of interviewers current company. ...

The ideal candidate will have a proven track record in leveraging classic data science algorithms, advanced machine learning techniques to drive data-driven decision-making and innovation. Data Scientist - Retail Domain. Proficiency in Data Science Algorithms. ...

Strong knowledge of Graph databases (Neo4j, Amazon Neptune) and Vector databases (Pinecone, Milvus, or Weaviate). ER modeling to advanced dimensional, graph, and vector schemas, along with a strong grasp of the history, best practices, and future trends in data management. Develop hybrid data models...

We are looking for Full Stack Developer, AI ML, AI Data Analytics, trainer to provide training (onsite) to final year engineering student at EC Bangalore location. ...