4,317 it data analyst jobs in India.

... sustainability practices, LEED requirements, and data centre-specific standards such as Uptime Institute tiers. The architect drives façade, interiors, plumbing, and sanitation design while ensuring technical compliance and coordination with global engineering partners. Key responsibilities include managing BIM/Revit modeling teams ...

... and unstructured data Build and optimize data ingestion and transformation pipelines for Data Lakes and Data Warehouses Ensure data quality, lineage, observability, and governance across pipelines Optimize data jobs for performance, scalability, and cost efficiency Design and operate cloud-native data platforms on AWS, Azure, ...

... mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse and analytics solutions using Azure Synapse, Azure Data Lake Storage Gen2, Databricks, Delta Lake, ...

... programming languages like python or r, and comfortable working with large datasets and distributed computing tools. - have a strong foundation in machine learning algorithms, statistical modeling techniques, and data-driven decision-making. - excels at approaching complex problems with a structured mindset, driving data-backed and ...

... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...

... to have) Version control: Git / GitHub Cloud exposure: AWS, Azure, or GCP Data platforms: Snowflake / BigQuery / Redshift (preferred) Understanding of ETL and data pipelines Business & Domain Exposure: Ability to convert business problems into data-driven solutions Experience working with large, real-world datasets Strong ...

... corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Junior Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. Utilize skills in development areas including data warehousing, ...

... stakeholders to understand reporting requirements and data issues. Define and implement data quality controls and validation frameworks. Monitoring and observability Implement and maintain monitoring for ETL pipelines, data freshness and reporting readiness. Data completeness Data quality validation Data freshness monitoring ...

... production monitoring and incident response, drive automation to reduce manual work, and collaborate with Engineering on root cause analysis, CI/CD support, and capacity planning. What's in it for you: In this role, you will be responsible for seamless operation of production environments for our Data Infrastructure and products ...

... statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Proven ability to build and deliver data solutions in a short time ...

... understanding of data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI solutions. Experience with data visualization tools and techniques. Knowledge of databases and data management. Experience & Qualifications Experience Range: 8+ years in IT, data science, ...

... analyze data efficiently. Experience with Relational Databases (RDBMS), with strong hands-on expertise in Microsoft SQL Server and related technologies. Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines. Experience with Databricks and Spark is a plus. prior experience is not ...

... Knowledge of cloud computing on Google Cloud Platform, data modelling, Adobe Analytics, and exposure to data quality assessment and control, including delivery on data and information management projects of varying complexity. Strong written and verbal communication skills, with the ability to develop and communicate complex ...

... delivery. Experience with SQL and data extraction from relational databases. Proficiency in cloud-based analytics platforms (e.g., GCP, Snowflake). Experience with TensorFlow, Keras, or similar frameworks. Strong software development skills with OOP principles. Experience with time-series data, image data, and anomaly detection. ...

... computing technologies such as Apache Spark. Prior experience working within Google or PLX environments. Knowledge of AI governance, Responsible AI, AI safety, data privacy, and data security best practices. Experience with vector databases, embeddings, prompt engineering, and LLM evaluation frameworks. Data Science Leadership ...

... brand empowerment strategies. iterate on model architectures and data features to consistently hit and exceed target KPIs. Maintain production-grade code repositories using GitHub, ensuring version control and documentation are integrated into the R&D process while adhering to data privacy and ethical AI practices. Research ...

... familiarity with e-commerce data, retailer data and panel data, and exposure to business intelligence or market research. Additionally, you should have experience with modelling/statistical techniques and data quality analysis and improvement. You should have a passion for challenging data opportunities! Deliver on methodology ...

Job Description : Hexaware is urgently looking for Immediate joiners for Data Scientist + Gen AI Lead position. If interested, please share your updated profile on View email address on https://jobeax.com/link/vqHYNEElkLeMxovm Role : We are seeking a highly skilled Lead Data scientist with strong expertise in Generative ...

... Git/version https://jobeax.com/link/psqbwnblLFnf7IZl is in it for you?- Opportunity to work on large-scale data engineering initiatives.- Exposure to cloud, big data, streaming, and modern data platforms.- Opportunity to work with cross-functional teams including data scientists, analysts, and product teams.- Collaborative ...

... delivering results with diverse teams. Work with real-world, large-scale data sets to build and deploy scalable models. Utilize modern distributed systems and data science tools (e.g., Hadoop, Hive/SQL, Apache Spark, TensorFlow, PyTorch, scikit-learn). Ensure reproducibility and quality in analytic pipelines and project ...