238 big data developer jobs in India, India.

... query performance proactively identify and resolve performance bottlenecks. Manage big data lifecycle - design data models and schemas (star/snowflake), enforce data partitioning and retention policies, implement data quality checks, and ensure data accuracy and freshness SLAs are consistently met. Deliver on ambiguous requirements ...

... including HDFS, Hive, Spark, and Impala. Experience building and supporting Data Lakes, Data Warehouses, and Enterprise Data Platforms. Strong experience in data modelling, source-to-target mappings, data transformation, and data integration. Knowledge of data quality, data governance, metadata management, and data security ...

... applications and next steps. Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze ...

... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...

... and query optimization. Big Data: Apache Spark / PySpark for large-scale distributed data processing. Data Pipelines: Building ETL/ELT pipelines using Azure Data Factory, Fabric Data Flows, and Fabric Notebooks. Cloud + Warehouse: Hands-on experience with Microsoft Azure services and Microsoft Fabric for cloud data warehousing ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed ...

... architecture, engineering productivity, code quality, testing, documentation, troubleshooting, and business outcomes. - Hands-on experience with several modern cloud and data platforms, such as Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, and Google Cloud Platform . - Strong data engineering experience with technologies ...

Experience :- 10+ years of overall IT / Consulting experience.- 7+ years of experience in Data Engineering, Big Data, Analytics, or related technologies.- 68+ end-to-end Databricks implementation projects.- Proven experience in Solution Architecture with strong client-facing https://jobeax.com/link/IXwRnieoNiHPNkEB Technical ...

... - Build and deploysupervised/unsupervised ML modelsand NLP solutions - Performdata analysis, feature engineering, and model validation - Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) - Support integration of AI models into scalable data/AI platforms - Supportmonitoring, performance ...

Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...

... cross-functional teams to transform complex data into meaningful reports and recommendations. The Data Analyst will be responsible for collecting, cleaning, and analyzing data from multiple sources to identify trends and opportunities. Responsibilities Collect, clean, and analyze data from multiple sources to identify trends and opportunities. ...

... Responsibilities include: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop data pipelines to extract and transform data in near real-time using cloud-native technologies. Implement data validation and quality checks to ensure ...

... using Python (e.g., REST APIs, flat files, database connectors). Support deployment, monitoring, and maintenance of applications in production. Collaborate with data engineers, analysts, and application developers to deliver data-driven solutions. Proficient in Oracle and PostgreSQL database administration, with strong skills ...

... requirements, understand data needs, and translate them into technical solutions. Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, ...

... design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: ...

... capacity planning, cost optimization, and performance tuning. - Leverage and manage AWS services like Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake etc. - Implement data pipelines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. - Build data ...

... SAFe, PMI ACP, or Scrum related credentials Experience working with manufacturing, supply chain, finance, commercial, engineering, or other enterprise business data domains The Data Program Manager will be an effective communicator and enterprise leader who can bring structure to ambiguity, align diverse stakeholders, and ...

... Power Platform (Power BI, Power Apps, Power Automate ).. - Data Governance & Quality - Ensure data quality, consistency, and integrity across systems. - Define data standards, reporting structures, and governance mechanisms. - Support continuous improvement through data validation and auditing. Partner with Engineering Managers, ...

... FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience with dbt (data build tool) for transformation layer management and semantic modeling. - Familiarity with data lakehouse ...