3,904 data analyst technology jobs in India.

... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...

... pragmatic and practical manner. 4–8 years in data protection, privacy, GRC, or technology/compliance law — ideally in SaaS or a product company handling personal data at scale. - Demonstrable ownership of either a security-certification program (SOC 2 and/or ISO 27001) or a data-protection/DPO program end to end — and the credibility ...

Ezeiatech is a technology-driven organization specializing in building scalable digital products and enterprise solutions. Operating at the intersection of software engineering and data intelligence, the company empowers businesses to modernize their infrastructure and leverage emerging technologies. With a focus on high-impact ...

... Jupyter Notebook for exploratory data analysis, pipeline testing, data profiling, and rapid prototyping.Cross-Team Collaboration:- Partner with data analysts, data scientists, and product teams to translate business requirements into reliable data https://jobeax.com/link/slfm2H5M70Q62wJ5 & Performance:- Ensure high data ...

... partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater ...

... best https://jobeax.com/link/6wXuMF1RDT966PMt Skills :- Languages : Python, PySpark, SQL (advanced).- Azure / Fabric : Microsoft Fabric (preferred) OR Azure Data Factory, Synapse, Data Lake.- Data Architecture : Lakehouse, Medallion Architecture, Batch + streaming data processing.- Data Handling : JSON, Parquet, CSV, API ...

... to building and maintaining data pipelines that feed dashboards, reports, and analytical tools Write Python and SQL to extract, clean, transform, and analyze data from various sources Power BI, Tableau) that make data and business metrics easy to understand and act on Partner with Business Analysts, Product Owners, and ...

... multidisciplinary team (budding data scientists, engineers, analysts)- 4b. Drive talent development, succession planning, and performance management- 4c. Establish data science governance, standards, and best practices5. Data Governance & Platforms : - 5a. Establish data governance, quality, and security frameworks- 5b. Partner ...

... Collaborate with stakeholders and engineering teams- Communicate analytical insights to non-technical audiencesRequired Skills :- 6 - 10 years of experience in data science / optimization- Strong experience in Python and Gurobi- Hands-on experience with linear optimization- Experience working with large datasets- Familiarity ...

... scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact A Senior Architect – Data Centre is responsible for leading architectural design and execution across all project phases, from concept to construction. The role involves expertise in space ...

... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Data Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy ...

... senior leader in the data engineering team, you will set the standards for best practices and will be a 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 ...

... time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. - analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. - drive ...

... learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience working on ...

... 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 ...

Our 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 ...

... stakeholders. Provide regular updates on platform health, data quality metrics and support activities. Bachelor's degree in computer science, Information Technology, Business Administration, or a related field. - 10+ years of experience in Data Engineering, ETL, or Data Warehouse environments. - 3+ years leading data engineering ...

... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...

... Python LLM / NLP EDA (Exploratory Data Analysis) Cloud Platforms (AWS, Azure, GCP) Explainable AI At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics ...

... 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, AI/ML, ...