7,806 data services jobs in India.

We are looking for an experienced Data Scientist to join our analytics team in Bangalore. The ideal candidate will have a strong background in statistical analysis, machine learning, data visualization, and big data technologies. You will work closely with business stakeholders and engineering teams to design data-driven ...

... Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions. Troubleshoot and resolve issues related to data pipelines and applications. Contribute to documentation of data pipelines and system architecture. Stay up-to-date with the latest Big Data technologies and trends. ...

As a Principal Data Engineer, you will be at the forefront of Oracle's data initiatives, playing a pivotal role in transforming raw data into actionable insights. Collaborating with data scientists and business stakeholders, you will design scalable data pipelines, optimize data infrastructure, and ensure the availability ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

... approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. 6+ years of Advanced Analytics ...

... Dimensions (SCD), Entity and Grain Definition, KPI and Metric Design, Semantic Layer Development, Data Transformation and Aggregation, Structured and Semi-Structured Data, JSON / Nested Data, NoSQL concepts, Snowflake and/or Databricks, Practical Python, Data Quality, Reconciliation, and Validation, Analytical Data Warehousing ...

... with colleagues to understand data requirements and goals. - Stay updated with the latest data science trends and tools. - Document processes followed during data collection and analysis. - Support data integrity and validation initiatives. Skills: - Data Collection: Ability to gather data from multiple sources effectively. ...

Role : Data Solutions Architect - Microsoft FabricRole Purpose : Design and implement enterprise-scale data solutions on Microsoft Fabric, while leading modernization from legacy platforms such as Qlik, Gather, and other BI/data https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Architect end-to-end data pipelines ...

... Responsibility for supporting ongoing information security compliance initiatives, including policies and standards related to information security, technology, data governance and privacy.- Technology Approvals : Accountability for the review and approval of technology in relation to information security risks, including ...

... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science

... systematic procedures to validate model performance and accuracy. Perform feature engineering through extracting meaningful features from measured and/or derived data Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling. Analyze large datasets to identify trends, patterns, ...

... Permanent Hybrid Work Language: Fluent Business English As a Data Engineer, you will play a pivotal role in designing, building, and maintaining highly scalable data management systems that enable Nespresso's data-driven decision-making. You will integrate diverse data sources into a unified platform, ensuring data accessibility, ...

... models to solve complex data problems. - Analyze large datasets to identify trends, patterns, and insights. - Write efficient and maintainable code in Python for data manipulation and model building. - Utilize SQL for data extraction, transformation, and database management. - Apply statistical methods to interpret data and ...

... dashboards and automated reports using tools like Power BI, Excel, and JIRA. - Automate data collection and reporting processes to minimize manual effort and enhance data accuracy. Facilitate data-driven decision-making across teams, supporting strategic initiatives. Work with the Operations team to identify gaps in data processes ...

... 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 through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity. Conduct data analysis ...

Job Role: Senior Data Scientist Experience Required : 6–9 years Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research ...

... In this regards, the LIQ PBR data analyst will work with Liquidity SMEs to document BDEs that require to be traced from upstream sources, liaise with upstream data source RTB teams to develop a data flow architecture for the movement of data, further request sample transactional and other data to test the data per test cases ...

We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...

... supervision. As a Data Entry Specialist, you will be responsible for accurately entering data into our systems, maintaining and updating records, and ensuring data quality and integrity. Enter data into our systems accurately and efficiently, following established procedures and guidelines - Verify and review data for accuracy ...