2,060 good data lab jobs in India.

... Services)- Apache AirflowResponsibilities : - Utilize SnowSQL for querying and managing Snowflake databases and implementing data transformation processes.- Collaborate with analytics and business teams to understand data requirements and provide solutions that meet organizational needs.- Implement and manage data integration ...

... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...

... data pipelines. Develop data set processes for data modeling, mining, and production. Analyze and organize raw data, ensuring it is accessible and usable. Collaborate with data scientists and architects on data initiatives and ensure the data is aligned with business needs. Create and maintain data documentation including ...

... want to work on production systems, not pilots. As a Data Engineer with an AI Analytics specialization, you will own the design and delivery of AI-augmented data pipelines and analytical systems within the CIA with Data and Analytics organization. You will build the data infrastructure that feeds machine learning models ...

HIRING | DATA SCIENTIST We are hiring an experienced Data Scientist for TrueiD Private Limited . Location: Hyderabad Experience: 7–12 Years CTC: ₹42–45 LPA Industry: IT Notice Period: Immediate to 15 Days Employment Type: Full-Time Key Responsibilities - Design, develop and deploy advanced Machine Learning and Data Science ...

... 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 ...

... 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 scalability. Lead troubleshooting and debugging efforts for data-related issues. Document data workflows, architectures, and ...

... with high volume data frequency.- Performance optimization on Spark workloads.- Environment setup, user management, Authentication and cluster management on Databricks.- Professional curiosity and the ability to enable yourself in new technologies and tasks.- Good understanding of SQL and a good grasp of relational and ...

... 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 ...

... Bundles, and at least one of Azure DevOps, GitHub, GitLab, or Jenkins.- Security & Governance: Databricks security, governance, access management, and enterprise data controls.- MLflow / MLOps: Working knowledge of MLflow and MLOps concepts.- Certification: Databricks Certified Data Engineer Professional Preferred / Highly ...

... Infrastructure as Code practices.- Contribute to CI/CD processes for data engineering workflows and production deployments.- Ensure data platforms are highly available, scalable, secure, and resilient.- Collaborate with data analysts, data scientists, architects, application teams, and business stakeholders to understand data requirements.- ...

... data accuracy Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field, or equivalent experience Business Acumen, Collaboration, Communication, Data Analysis, Data-Driven Business Intelligence, Data Visualization, Market/Industry Dynamics, Relationship Management, Statistics, Story ...

... product stack, customer excellence and trust of an established bank. To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration ...

... Remote / On-Site) Relocation available: No What you will do Develop and maintain dashboards and reporting to monitor key compliance metrics. Manage incoming data requests from global regulators, ensuring data is provided quickly and accurately. Identify trends and anomalies using advanced data analysis techniques and tools. ...

... 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 ...

... modeling, data management, SQL, and data governance tools.- Conduct root cause analysis for data defects and support resolution efforts.- Develop and maintain data quality standards, policies, and procedures.- Collaborate with business stakeholders to define data requirements and metadata.- Support data lineage tracking ...

... and product ionization of data engineering solutions.- Working knowledge of MLOps concepts and practices, with the ability to collaborate effectively across Data Engineering, Data Science, and Machine Learning teams.- Strong understanding of performance optimization, scalability, cost optimization, and tuning of Databricks ...

... Computer Science, Information Systems, Data Analytics, or related field. Experience: Minimum 5 years in data analysis, reporting, or business intelligence roles. Proficiency in Tableau, Power BI, or Grafana. Strong knowledge of SQL, data modeling, and relational databases. Familiarity with ETL processes and data pipelines.