2,880 data science training jobs in India.

... and improve data quality. Monitor pipeline reliability, data availability and performance. What we're looking for - 5+ years of experience in Data Engineering, Data Operations or a related field. - Strong experience with GCP and Azure data platforms. - Hands-on experience in data pipelines, ETL, databases and data warehousing. ...

... and provide data- driven solutions. Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards. Develop and implement validation processes to ensure data accuracy and consistency. Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.

... understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing ...

... across Manufacturing, Industrial, Consumer, Life Sciences and High-Tech industries. GyanSys provides Digital Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernisation and various AI projects. We are looking to add experienced Data Scientist to expand our Microsoft Practice with the ...

About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced ...

About this Position The Data Engineer supports the development and operation of Henkel's enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers. As part of a ...

... Data Loss Prevention (DLP) , you will work as a part of our Cyber Security team, and you will collaborate with other IT professionals to ensure that sensitive data is protected from unauthorized access misuse, and breaches. Educational qualifications & Experience: - Bachelor’s/Master's degree in computer science, Information ...

... experience preferred. - Implement data transformations and data structures for data warehouse and lake/repository. - Manage cloud and/or on-premises solutions for data transfer and storage. - Process data using spark (PySpark) - Manage cloud and/or on-premises solutions for data transfer and storage. - Collaborate and work with ...

... Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory compliance initiatives Configure workflows ...

... providing standardized tools, training, and processes to ensure accurate lease accounting, payments, and reporting across business units and regions. 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL Experience with AWS technologies like Redshift, ...

... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...

... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...

... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...

... appropriate. - Manage end to end project deliveries within timelines, managing risks / issues where necessary. - Support user adoption and on boarding with hands on training and documentation. Data Visualisation and Storytelling - Craft compelling data visualizations that are aligned to business objectives and effectively communicate ...

... intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields are to be recorded ...

We are looking for a Big Data Architect with experience designing scalable data solutions using Agile/SAFe practices, data mesh architecture, real-time streaming, cloud platforms, and modern data engineering technologies. The candidate should have a strong DataOps mindset and the ability to design solutions for testability, ...

We are looking for a skilled Data Engineer with strong experience in Python and AWS cloud technologies. The ideal candidate should have hands-on knowledge of building automation frameworks, managing test scripts, and working with various AWS services. This role requires good technical understanding, strong problem-solving ...

... https://jobeax.com/link/Dt0HlcGS2dYWmJNd Responsibilities :- Design and implement end-to-end data ingestion and transformation pipelines using Azure Data Factory to ensure seamless data flow across the enterprise.- Develop high-performance data processing solutions using PySpark and Databricks to handle large-scale datasets and complex analytical ...

Location: Hyderabad, TG, IN Data Engineer II

... upgraded software systems. Troubleshooting: Diagnose and resolve issues in reporting environments and database systems. End-User Training: Train business users on new data tools, reports, and dashboards. Technical Expertise: Provide insights in data storage structures, data mining, data cleansing, and data governance.