1,979 data analytic internship jobs in India.

Big Data

...Data Engineer / Senior Data Engineer ? Location: Dehradun / Remote ? Budget:...  ...consulting team working on enterprise-scale Big Data, Cloud and Analytics solutions ....  ...infrastructure Responsibilities Develop data solutions within Big Data and cloud environments...

This is a remote position. Role Overview We are looking for a Data Steward to help build and maintain a trusted, privacy-preserving data platform. You will be responsible for understanding and classifying data across multiple sources, identifying sensitive information... Full time Remote job

... enterprise data catalog and empower self-service analytics. Have 8+ years of overall experience in data engineering, data warehousing, ETL, BI, or enterprise analytics, including 3–5 years of hands-on Oracle FDI experience. Have strong hands-on skills in Oracle SQL, PL/SQL, Oracle Database, and Oracle Data Integrator (ODI ...

... reasoning models autonomous agents) for HR use cases. https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS in Computer Science Data Science AI or related field Relevant years of experience in Data Science / AI / ML roles Experience in Gen AI Agentic AI will be preferred Relevant years of experience ...

... data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Prepares big data, implements data models, and develops database to support the business solutions. Analytical support includes: metric ...

... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... ensure that data across key domains (Finance, Supply Chain, Master Data, etc. ) You will work closely with business process owners, data platform teams, and analytics teams, reporting to the Data Analyst Lead to ensure the new data model meets business needs and is successfully implemented. This Data Analyst role is critical ...

... passion, and the possibilities. Databricks Workflows,PySpark,Apache Kafka,Snowflake Design scalable data engineering solutions using PySpark and modern distributed data processing frameworks. Define data ingestion, transformation, and processing architectures aligned with business and analytical objectives. Design and optimize ...

... optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems. Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains Collaborating with cross-functional teams to deliver end-to-end data ...

... techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate closely with data scientists and analysts to provide clean, structured data for advanced analytics and machine ...

... compliance. Production Support & Data Operations Provide L2/L3 support for critical enterprise data platforms and reporting applications. 8+ years of experience in Data Engineering, Data Analytics, Data Warehousing, and BI Reporting environments. - Strong hands-on expertise in DataIKU, MicroStrategy, Oracle, SQL, ODI,TWS and ...

... Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.- Optimize data storage ...

... and analytical approaches developed by team members and ensure statistical and technical quality. Proactively identify business opportunities where advanced analytics and data science can create measurable value. 9+ years of hands-on experience in Data Science, Advanced Analytics, or a related quantitative field, with experience ...

... Build and operate scalable batch and streaming pipelines that ingest, clean, transform, and aggregate data from disparate sources, device SDKs, APIs, third-party data partners, and internal services Develop and maintain orchestration workflows (Airflow) that power research, reporting, compliance analytics, and ML model training ...

... related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

... deployment, monitoring, versioning, and reproducibility. Experience with predictive maintenance, digital twins, process control, industrial automation, or sensor analytics. Experience with Azure cloud platform. Experience with Databricks, Spark, Kubernetes, MLflow, Airflow, or similar tools. Knowledge of edge deployment or real-time ...

... well-documented code in Python, leveraging libraries such as pandas, scikit-learn, statsmodels, and Prophet. Use SQL and PySpark to extract, transform, and analyze large datasets from cloud-based data platforms. Collaborate with data engineers and software developers to integrate models into production systems. Monitor model performance ...

... of data you find satisfaction in messy datasets made clean and hard questions made answerable.- Strong hands-on experience in data research, data quality/QA, data science, or analytics engineering (typically 5 - 9 years).- Fluency with Python and SQL and modern data tooling; comfort digging into large, real-world datasets.- ...

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