4,317 it data analyst jobs in India.

... systems. Automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards Monitor, troubleshoot, and enhance data pipelines for high availability and reliability. Utilize Docker and Kubernetes for scalable data processing. Collaborate with the automation team, data scientists, ...

... Experience deploying AI systems on AWS, GCP, or Azure in microservices architectures.- Thrives in fast-moving startup environments with high ownership and ambiguity.- Strong Python skills with focus in data engineering and data analysis, including proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy ...

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments.

... proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) - Ability to work independently with minimal supervision, as well as collaboratively with other team members - Familiarity with data entry and quality control procedures and guidelines - Ability to maintain confidentiality of sensitive data and information ...

... improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements 1+ years of data engineering experience - Experience with data modeling, warehousing and building ...

... ChatGPT or Claude may be limited due to the confidentiality of data, the candidate must have strong independent coding and problem-solving abilities. Key Responsibilities Develop algorithms for name matching, entity resolution, record linkage, duplicate detection, and identity matching. Apply NLP and text similarity techniques ...

... & Modern Data Engineering - AWS / Azure / GCP - Python / PySpark / SQL - Snowflake / Databricks / Spark / BigQuery / Synapse - Kafka / Kinesis / Event Hub / Dataflow - Apache Airflow / Astronomer - Data Modeling, Quality & Reliability - Data Governance & Metadata Management - CI/CD & DataOps - Data Platform Engineering ...

... Azure Databricks : - Databricks SQL- Data processing and transformation- Experience developing and maintaining Databricks notebooks- Understanding of Spark-based data processing3. Azure Data Platform : - Azure Data Lake- Experience working within Azure data ecosystems- Understanding of cloud-based data architectures4. Data ...

... NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting ...

... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability ...

... dashboards and reports to support business insights. Work with Oracle databases and Oracle NetSuite data for reporting and integrations. Perform data modelling, database design, and schema optimization. Ensure data quality, integrity, and consistency across multiple data sources. Collaborate with developers, analysts, and ...

Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...

Role Overview :We are looking for an experienced Data Engineer to design, develop, and support enterprise data warehouse and data management solutions. The role requires strong expertise in SQL/PL-SQL, ETL, data modeling, and enterprise data platforms, along with the ability to manage delivery timelines and ensure adherence ...

Job Description / Roles & Responsibilities: Design, develop, and maintain AI, Data, and Analytics applications using Python and SQL. Build and optimize backend data workflows and pipelines with data warehouses such as Snowflake. Collaborate with cross-functional teams to design and enhance application features. Develop ...

Job Description - Data Scientist Job Title Data Scientist (Core ML) – 4–6 Years Experience Role Summary Develop predictive analytics and machine learning solutions focusing on forecasting, regression and statistical modelling. Key Responsibilities Build regression and forecasting models. Develop lead time prediction and ...

... scalable data preparation, feature engineering, and data augmentation pipelines to improve model performance and robustness. Support end-to-end model lifecycle activities, including problem scoping, experimentation, model training, evaluation, deployment, monitoring, and optimisation. Ensure data quality, integrity, governance, ...

... AWS.3. Experience with Spark, Kafka, dbt, or similar big data technologies.4. Good understanding of data warehousing and dimensional modeling.5. Familiarity with CI/CD, Git, and modern data engineering best https://jobeax.com/link/UeihKekmHfcz25oy's in it for you : - Opportunity to work on large-scale enterprise data platforms.- ...

Job Description / Roles & Responsibilities: Design, develop, and maintain AI, Data, and Analytics applications using Python and SQL. Build and optimize backend data workflows and pipelines with data warehouses such as Snowflake. Collaborate with cross-functional teams to design and enhance application features. Develop ...

... Design and implement data models and data warehouse solutions.- Perform data ingestion, transformation, validation, and optimization.- Troubleshoot and optimize data pipelines for performance, reliability, and scalability.- Collaborate with cross-functional teams to understand business and data requirements.- Implement CI/CD ...

... reporting through Power BI and other visualization tools. Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions. Implement and enforce best practices for data governance, data quality, and security. Mentor and guide junior data engineers; establish coding and ...