3,082 data science analytics jobs in India.

... integrations between Datasphere, SAP systems, and non-SAP platforms including Azure-based data environments.- Define integration architecture, connector strategy, and data movement patterns for new business initiatives.- Enable and optimize SAP Analytics Cloud (SAC) connectivity with Datasphere and BW/4HANA environments.- Partner ...

We’re looking for people who are always searching for creative ways to grow and learn. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services.

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...fields to students and working professionals. You will play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This is a unique opportunity to combine your passion for technology and education, while...

... 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. Qualifications Required Knowledge And Experiences Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of ...

... Conduct stakeholder engagement, user training, and change-management activities ~ Education & Experience: - Bachelor's degree in Information Technology /Computer Science or related discipline. - MBA or relevant postgraduate qualification (preferred). - 8-12 years of experience in IT Business Partnering, Digital Transformation, ...

... (Snowflake, BigQuery, or similar). - Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes). - Strong foundation in data structures, algorithms, and distributed system design. - Experience working cross-functionally with product, data science, analytics, and ML teams. - Demonstrated ...

... ownership without ego, and building things that last. 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, ...

... pipelines using tools such as Dataform, Airflow, Cloud Run Functions, and Workflows, with infrastructure managed as code via Terraform, ensuring seamless access to data for analytics, business intelligence, and data science initiatives. A key focus of this role is building AI agents and AI-powered tools to automate manual workflows ...

... 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 ...

... Qualifications: - 7+ years of experience in data engineering and analytics, with a strong background in designing scalable database architectures, building and optimizing data pipelines, and applying statistical analysis to deliver strategic insights across complex, high-volume data environments - Deep knowledge of big data frameworks ...

... professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.

... APIs using FastAPI, Flask, or Node.js. DevOps / MLOps: Containerization via Docker, Kubernetes, and CI/CD deployment workflows. Bachelor's degree in Computer Science or a related field. Experience: 7+ years of professional software engineering experience. Proven track record of shipping production-grade data pipelines. Adobe ...

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, ...

... learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting edge analysis to key business questions. Examples of Advanced Analytics activities: (1) Machine/Deep Learning to elucidate ...

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...

... management practices, including planning increments, coordinating epics and features, facilitating ceremonies, and tracking delivery across teams Partner with data, architecture, integration, analytics, and platform teams to ensure program execution is aligned with target state architecture and enterprise standards Support ...

... optimize distributed data applications using Spark and Scala.- Develop reliable, high-performance data pipelines for batch and streaming workloads.- Work with large datasets to ensure data quality, consistency, and performance.- Collaborate with engineering, product, and analytics teams to deliver robust data solutions.- Optimize ...

... BigQuery and advanced SQL.- Experience with Dataform or dbt.- Hands-on experience with Cloud Composer/Apache Airflow.- Experience with Dataflow/Apache Beam and/or Dataproc/Spark.- Strong understanding of data modelling, schema evolution, data quality, and data pipelines.- Experience with batch and streaming data processing.- ...