3,854 data analyst technology jobs in India.

... solutions Work on user requirements and create queries for creating consumption views for users from the existing DW data. Will train and lead a small team of data engineers. Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Applicant should have excellent communication ...

... a regulated public listed NBFC. The Data Science team owns Risk, policy, fraud signals, scorecards, and portfolio & overall analytics. We are hiring a Senior Data Scientist who has built and shipped credit decisioning systems (scorecards, BRE, feature pipelines) in digital lending. Own end-to-end credit & fraud data science ...

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

Position : Senior Databricks Data EngineerEmployment Type : Full TimeLocations : Bangalore / Chennai / Hyderabad- 10+ years of experience in Data Engineering, Data Platforms, and Analytics, with 10+ years of overall consulting experience in enterprise technology environments.- Strong hands-on experience with Databricks, ...

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, ...

... from large, complex datasets. You will collaborate with data architects, analysts, and business stakeholders to deliver scalable, secure, and high-performance data https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Amazon Web ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

... solutions aligned with business objectives.- Manage a team of 2 to 3 junior data analysts and provide technical mentorship to junior team members and troubleshoot data-related https://jobeax.com/link/kTqEvoCIVqPjisUz & Experience :- Strong experience in database architecture, data engineering, and the Microsoft technology stack.- ...

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...

... - Build and deploysupervised/unsupervised ML modelsand NLP solutions - Performdata analysis, feature engineering, and model validation - Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) - Support integration of AI models into scalable data/AI platforms - Supportmonitoring, performance ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... governance using IAM roles, KMS encryption, and AWS Lake Formation . Automate data workflows using Terraform, CloudFormation, or CDK . Monitor and troubleshoot data pipelines, ensuring high availability and performance. Collaborate with Data Scientists, Analysts, and Engineers to provide robust data solutions. Required Skills: ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...