2,314 big data testing jobs in India.

... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science

• Remote
• Full-time

... missed, incorrect, or duplicate objects. Verify images are uploaded to the correct assigned tools. Perform quality checks and correct tagging errors. Maintain dataset accuracy and follow defined SOPs. Support dataset preparation, Train/Valid splitting, and dataset version creation. Escalate unclear images, project mismatches, ...

• Remote
• Contract

... and manage S3-based data lake architecture for raw data storage, ingestion, and processing. Support SQS-based asynchronous workflows for report generation and data-processing queues. Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness. Implement data quality ...

• Remote
• Hybrid
• On-site

$30 USD

... Experience in data migration projects Exposure to on-prem + cloud environments Strong SQL proficiency (should handle basic queries comfortably) Clear understanding of data engineering concepts Experience with: Practical coding ability About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

... data pipeline best practices.- Basic knowledge of version control (Git).Nice to Have :- Experience with cloud platforms (AWS / GCP / Azure).- Familiarity with data warehousing tools (Snowflake, BigQuery, Redshift, etc.).- Exposure to libraries like Pandas, NumPy, or PySpark.- Understanding of data modeling concepts.- Experience ...

... systematic procedures to validate model performance and accuracy. Perform feature engineering through extracting meaningful features from measured and/or derived data Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling. Analyze large datasets to identify trends, patterns, ...

... maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated testing, including unit test cases using pytest. Collaborate with front end developers to support seamless integration ...

• Hybrid

... pipeline development, and vector search (Databricks Vector Search / Mosaic AI).- Implement MLOps practices: model versioning, A/B testing, model serving via Databricks Model Serving https://jobeax.com/link/dlGE0I2gOGiKw2Dg Integration & DevOps :- Integrate Databricks with cloud-native services : Azure Data Lake Storage ...

... backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation ...

Rs 3 - 6 lakhs p.a.

... generate actionable insights, Ensure data quality, security, and governance across all analytics systems, Collaborate with cross-functional teams to understand data needs and deliver impactful solutions Requirements ~3+ years of experience in data engineering, analytics, or BI-focused roles, Strong proficiency in SQL and ...

Rs 3.5 - 12 lakhs p.a.

Requirements What You Will Do Analyze Business Requirements. Analyze the Data Model and perform GAP analysis with Business Requirements and Power BI. Design and model Power BI schema. Transform data in Power BI, SQL, or Microsoft Fabric. Create DAX formulas, reports, and dashboards. Strong experience with Power BI or Microsoft ...

... Aug 26 - Planning for 2 skills GCP Data engineer - 11 positions , Band E - 8+ yrs Data Analyst - 17, Band E - 8+ yrs Location : Chennai/ Hyderabad/Bangalore Data analyst - JD Advanced SQL (BigQuery ideally) for querying and data manipulation Data quality checks, validation and reconciliation Working knowledge of data warehouse ...

• Hybrid
• Contract

... solutions (Docker). - Hands-on experience with orchestration tools like Apache Airflow and dbt. - Solid understanding of data science concepts, ML frameworks, and big data technologies (Hadoop, Spark). - Ability to manage competing priorities and deliver projects within deadlines. Experience with streaming data processes and ...

... algorithms. - Proficiency in Python is required for data analysis, model implementation, and automation tasks. - Expertise in SQL is necessary for efficient data retrieval, manipulation, and database interaction. - A solid understanding of Statistics is crucial for data interpretation, hypothesis testing, and model evaluation.

• Hybrid
• On-site

... dashboards and automated reports using tools like Power BI, Excel, and JIRA. - Automate data collection and reporting processes to minimize manual effort and enhance data accuracy. Facilitate data-driven decision-making across teams, supporting strategic initiatives. Work with the Operations team to identify gaps in data processes ...

... patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity. Conduct data analysis ...

• Hybrid

Job Role: Senior Data Scientist Experience Required : 6–9 years Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research ...

• Hybrid
• On-site

... and digital trust capabilities. Our flexible and modularized methodology has been utilized by numerous global organizations to build a broad global privacy, data protection, and/or digital trust operations and includes the following phases and activities. Data lifecycle management Policy fine-tuning Cyber Data Operate ...

... maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated testing, including unit test cases using pytest. Collaborate with front end developers to support seamless integration ...

20k / month

... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...