3,740 master data analyst jobs in India.

... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...

... projects. - Experience working within complex organizational settings (e.g., PMO, geographic dispersion, etc.). - Experience with colocation and large-scale data center operations. - Experience with operations third-party colocation environments, including familiarity with supply chain and logistics concepts. - Strong ...

... evaluate AI solutions using real-world enterprise datasets. What you'll bring Required Qualifications - 7+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...

Key Responsibilities Provide technical support to international clients via phone, email, live chat, and remote sessions. Conduct software onboarding, demonstrations, and comprehensive client training sessions. Lead Training & Development (T&D) sessions to help clients maximize the value of our software.

... Product Managers to define product vision, success metrics, and feature priorities. - Track product performance, adoption, user behavior, and key product KPIs. Data Strategy & Insights :- Oversee data initiatives across datasets, data quality, structuring, and delivery. - Develop frameworks for data enrichment, classification, ...

... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...

... end-to-end scheduled and event-driven data workflows using AWS Step Functions and AWS Glue Workflows.4. Data Warehousing & Operational Databases : - Enterprise Data Warehousing : Own the architecture, data modeling, and performance tuning in Snowflake to support downstream BI, connected-fleet dashboards, and data science ...

... process improvements. Automation of manual processes Provide recommendations for optimizing marketing spend and improving return on investment (ROI). Define the data elements and data structure that teams should leverage to enable analytical capabilities for our marketing and sales teams Work with engineering and product development ...

... code changes. Collaborate with cross-functional teams (analysts, product managers, and engineers) to understand business needs and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and ...

... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence. We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better ...

... Deployment) for automated deployment and testing of data solutions. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data products. Ensure data quality, reliability, and security within the data ecosystem. Skills Required: AWS certification . Proficiency in AWS Big Data Services ...

... seamless data integration, high data quality, and secure access while collaborating with stakeholders to translate business needs into efficient, cloud-optimized data solutions. Key Responsibilities: - Design, build, and maintain scalable data pipelines and ETL processes including database scripts, stored procedures, triggers, ...

... Lakehouse architecture and design patterns.- Unity Catalog: Security, governance, access control, and data management.- Databricks Platform: Workflows, Auto Loader, Databricks SQL, batch and streaming pipelines.- Spark Performance Optimization: Partitioning, shuffle optimization, data skew, join optimization, AQE, and Catalyst.- ...

Role Overview : The ideal candidate should have strong hands-on experience with AWS data services, PySpark, SQL, ETL/ELT development, and large-scale data processing. You will work closely with data analysts, data scientists, technology teams, and business stakeholders to deliver robust data solutions that support analytics, ...

... troubleshooting with IT/security teams. Required Skills and Experience Foundational experience in data engineering, data pipelines, ETL/ELT, data transformation, or cloud data platforms. Working knowledge of SQL and Python exposure to Spark, notebooks, or distributed data processing is preferred. Basic understanding of data modeling, ...

... implementing the chosen data model using the appropriate technology stack. - You will collaborate with the team on the areas of data governance, data security and data privacy. - You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills - You will have 5+ years of experience in Data engineering. ...

... Experience in Crypto, Web3, FinTech, or Trading platforms. Familiarity with APIs, software development lifecycle (SDLC), and product release management. PMP, Scrum Master (CSM), or Agile certifications are an added advantage. Collaborative and entrepreneurial work culture. Competitive compensation and performance-driven growth.