3,705 data analyst trainee jobs in India.

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.

... supervision. As a Data Entry Specialist, you will be responsible for accurately entering data into our systems, maintaining and updating records, and ensuring data quality and integrity. Enter data into our systems accurately and efficiently, following established procedures and guidelines - Verify and review data for accuracy ...

Role : Data AnalystExp : 5 - 10 yrsLocation : Kodathi, Bangalore (Person must be currently in Bangalore)Skills : Data modeling, ETL, sql, data quality tools such as- Informatica, Alteryx, Ataccama, Python good to haveDomain : BankingShift : 12 - 9:30 PMCore Responsibilities :- Configure and maintain master data models, ...

... 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 ...

Data Scientist – AI/ML & Identity Management Location: Hyderabad, India Experience: 7–15 years Employment Type: Full-time, Work from Office Role Overview We are looking for a Data Scientist with hands-on Python coding skills to develop and deploy AI/ML solutions for identity management. The role involves working with real-world ...

... & 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 ...

... parallelism and batch data processing - 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets - Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python-based database connectivity ...

... 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. ...

... develop, and maintain scalable data engineering and enterprise data warehouse solutions.- Develop complex SQL and PL/SQL queries, stored procedures, functions, and data processing workflows.- Perform query and database performance tuning for large-scale data workloads.- Develop and maintain data ingestion, transformation, reconciliation, ...

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 ...

We are seeking a highly motivated Data Scientist with expertise in machine learning, advanced analytics, and Generative AI technologies. The successful candidate will work with business stakeholders to translate complex business challenges into data-driven solutions and develop scalable analytical products that create measurable ...

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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 ...

... develop, and maintain scalable ETL/ELT data pipelines on GCP.- Build and optimize data solutions using BigQuery, Dataflow, Cloud Storage, and Pub/Sub.- Develop data processing workflows using Python, SQL, and Spark/PySpark.- Design and implement data models and data warehouse solutions.- Perform data ingestion, transformation, ...

... 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 ...

Principal Data Scientist with GenAI - 8+ years - BangaloreSummary :We are looking for an experienced Principal Data Scientist / GenAI professional who can independently develop, implement, and deploy Machine Learning and Generative AI use cases across functions. The role involves working closely with internal teams and ...