3,793 provider data management jobs in India.

... for improvement. - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - A successful history of manipulating, processing and extracting value from large, disconnected datasets. Desired Skills ...

Purpose of Job We are looking for a Senior Data Engineer who is equally strong on the data side (modelling, data quality, SQL, understanding the business) and the engineering side (Python, PySpark, CI/CD, performance, reliability). You will own the design and delivery of production data platforms from requirements to production ...

... scalable data pipelines and third-party API integrations. - Work with business teams and analysts to interpret business rules and derive insights. - Implement data-quality processes, monitoring, and alerting to maintain accurate and available production data. - Analyze and troubleshoot data issues and assist with their resolution. ...

... crop routines . This role will support strategic decision-making through data-driven insights and will be instrumental in managing and analyzing crop and trade data across geographies. Main Responsibilities - Crop Data Management: Collect, clean, and analyze agronomic data from Indian crop routines, especially sugarcane in ...

... supporting data quality and governance initiatives. In addition, you will work alongside the data management and data science teams to enhance the business's data capabilities and drive innovation. You'll support and be supported by activities in business analysis, data management, and digital innovation, ensuring the delivery ...

... above mentioned skills. • Communicating with senior management and customers verbally and in writing. • Build & Monitor data systems and pipelines. • Develop Data Frames using PySpark • Conduct complex data analysis and report on results. • Combine raw information from different sources. • Explore ways to enhance data quality ...

... using Terradata for business intelligence. Our core data platform stack includes: Data Platform & Lakehouse - Databricks as the single point of truth for all data - Realtime Data Pipelines implemented using Kafka for data ingestion. - Databricks SQL for analytical queries - Unity Catalog for metadata management and governance ...

... AWS, Azure, or GCP. - Execute complex data transformation processes to convert raw data into usable formats for analysis and reporting. - Implement and monitor data quality frameworks to ensure the integrity, consistency, and reliability of all data assets. - Optimize database queries and data models to enhance system performance ...

... PySpark, and SQL for efficient data manipulation and processing along with experience with data modelling and database design (SQL and NoSQL) - Familiarity with big data technologies (e.g., Apache Spark, Hadoop) and real-time data processing solutions - Understanding of data governance, data quality, and security best practices ...

... with 5-9 years experience - Hands-on expertise with big data platforms including Databricks, Apache Spark, and workflow orchestration - Proficiency in SQL and data visualization tools with strong data analysis capabilities - Solid understanding of data governance frameworks, data protection regulations, and compliance requirements ...

... observability for data pipelines. - Experience working in production-scale data warehouse environments. Technical SkillsAreaRequired SkillsProgrammingPython, SQLData ModelingDimensional Modeling, Data Warehouse ModelingData Warehousing Snowflake – Strong Hands-on Experience Required Data Transformation DBT – Strong Hands-on ...

... of data product pipelines. - Perform data engineering activities including data modelling, ETL/ELT development, data warehousing, data lakes, and database management. - Collate, analyse, validate, and reconcile data using established tools, methods, and formats. - Support management information reporting, data visualisation, ...

... execution hints to improve performance. - IBM DataStage experience preferred. - Able to write SQL code sufficient for most business requirements for pulling data from sources, applying rules to the data, and stocking target data - Proven track record in troubleshooting ETL jobs and addressing production issues like performance ...

... Science, IT, or related field with 5-9 years experience - Hands-on expertise with big data platforms including Databricks and Apache Spark - Proficiency in SQL and data visualization tools; strong data governance knowledge - Experience with ETL/ELT processes, data modeling, and data warehousing concepts - Familiarity with Python/R, ...

... shape how a scaling global company operates—keep reading. What You'll Do - Build and maintain batch and streaming pipelines that ingest, clean, and transform data from device SDKs, internal services, partner APIs, and third-party data providers - Write and own backend services and RESTful APIs that serve data to internal ...

Baxter seeks a Data Engineer to develop and support ETL and data transformation jobs using PySpark and IBM DataStage in AWS. The role involves building new pipelines, enhancing existing systems, performing code reviews, and providing technical support for a global data warehouse. Responsibilities - Develop new ETL and data ...

... Specialize search engine and language models in identifying companies - Generate visual and textual explanations for AI model predictions MAIN RESPONSIBILITIES: - The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services. ...

Amgen seeks a Data Scientist, Forecasting to develop statistical, Bayesian, and machine learning models supporting demand forecasting and business decision-making across the organization. The role involves analyzing complex datasets, building simulation capabilities, and communicating insights to diverse stakeholders within ...

... Responsibilities - Design and implement advanced statistical models and machine learning algorithms to solve complex business challenges. - Perform comprehensive data preprocessing and exploratory data analysis (EDA) to uncover hidden patterns and trends. - Develop intuitive and impactful data visualizations to communicate ...

... reduction. - Design evaluation frameworks, select appropriate metrics, analyse model errors, and validate performance through systematic experiments. - Explore datasets containing millions of records using Python, SQL, and data-processing tools. - Deploy, monitor, and improve machine learning models in production environments. ...