2,586 big data analytics jobs in India.

• Hybrid
• On-site

... pass an acceptance gate before it is declared complete — you own the evidence behind that. Enabling everyone else The integration and document engineers land data into your platform. Analytics and validation work builds on top of it. Making both easy is part of the job. The Expected Stack The architecture is being finalised ...

80k

... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...

• Full-time

... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...

• Full-time
• Contract

... understanding of deep neural networks and other machine learning techniques in high frequency domain is a plus. Comfortably making pragmatic modeling tradeoffs under ambiguity while clearly articulating the reasoning behind them with data. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy ...

... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...

• Hybrid

... data infrastructure remains a competitive asset in a fast-paced https://jobeax.com/link/CO851KAPNv79RH57 Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end design ...

Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority ...

• Full-time

Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...

• Hybrid

... optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- Design and implement serverless data processing solutions using AWS Lambda.- Use Amazon S3 for scalable data storage and data ...

... techniques. Hands-on experience integrating and optimizing Starburst/Trino, including connecting Starburst from Lambda and Glue ETL jobs. Experience with NoSQL databases such as DynamoDB, MongoDB. Experience working with data formats including Avro, Parquet, JSON, XML, and CSV. Comfortable challenging your peers and leadership ...

... dedicated to innovation and excellence in data https://jobeax.com/link/fc637Lq7iXaUjBEJ mission is to empower businesses through advanced data engineering and analytics, fostering a culture of collaboration and continuous https://jobeax.com/link/yeka7e9uOhXV2ngJ the Role :We are seeking a Senior Fabric Data Engineer who can ...

... aggregations, performance tuning, and analytics Handson experience handling largescale datasets in Redshift / Athena Strong Python programming skills (mandatory) for data engineering use cases PySpark / Sparkbased processing Building reusable ETL components, utilities, and data pipelines Strong understanding of data modeling, transformations, ...

... using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics work - In-depth knowledge of performance optimization techniques for large-scale data processing, including code ...

Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...

... magic! Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: ...

... Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall experience of 0-2 yrs. in Advanced Analytics/ Business Intelligence/Data Warehousing Strong Background in Data Transformation ...

• Remote

... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...

Role OverviewWe are seeking a high-caliber Data Migration Consultant Developer with proven expertise in Guidewire Data Migration methodology and tools . The ideal candidate must hold a Mammoth Certification (Data Migration Track) and bring extensive, hands-on experience in migrating client data from legacy Policy systems ...

GCP Data Engineer Mandatory Skills Relevant work experience between 3 to 7 years. Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions using at least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming ...

... collaboration tools like GIT, Jira, and Confluence.- Understanding of cloud platforms (AWS, Azure, or GCP).- Understanding of Commercial Pharma landscape and Patient Data/Analytics is a huge https://jobeax.com/link/fHKyZeByh8srlPka Thinking & Communication : - Analytical mindset with a systematic approach to problem-solving.- Ability ...