1,838 simple data typing jobs in India.

... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...

... usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures conformance to these standards Job title: Senior Data Engineer Job Description: We are looking for a motivated Databricks Senior Data Engineer to support the delivery of data engineering solutions across Databricks ...

... : - Define and enforce the enterprise-wide MDM strategy, standard operating procedures (SOPs), and data governance models.- Establish a RACI matrix detailing data ownership and stewardship across plant operations and corporate functions.- Lead the Data Governance Council to review data quality metrics, align stakeholders, ...

... journey data. It turns compliant data collection into actionable insight that helps improve customer reach, engagement, conversion and website quality. Protect data quality: Configure and validate tracking so customers and Web teams can rely on their website data. Provide clear operational support to marketing and product ...

... 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 ...

... Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions. Troubleshoot and resolve issues related to data pipelines and applications. Contribute to documentation of data pipelines and system architecture. Stay up-to-date with the latest Big Data technologies and trends. ...

... Redshift manage WLM queues, distribution/sort keys, materialized views, and 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 ...

... competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview : Zynga's data science and analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We ...

As a Principal Data Engineer, you will be at the forefront of Oracle's data initiatives, playing a pivotal role in transforming raw data into actionable insights. Collaborating with data scientists and business stakeholders, you will design scalable data pipelines, optimize data infrastructure, and ensure the availability ...

... solution designs and ensure data science insights translate into robust, production-ready systems. - The Alexa Smart Home Decision Sciences team provides the data and analytical foundation that powers insights across our rapidly growing smart home ecosystem. We work with data from millions of connected devices, customer ...

... SAC planning capabilities.- Experience enabling bi-directional integrations between SAC and Datasphere using SAP APIs and integration services.- Exposure to Datasphere integration patterns leveraging Azure Data Lake as an enterprise source-of-truth platform.- Experience evaluating, selecting, and implementing Datasphere ...

... 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. ...

... a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative AI infrastructure. You will be responsible for building robust data pipelines on Databricks, engineering high-quality datasets ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...

... experience in Enterprise Data Architecture, Data Engineering, Data Governance, Information Management, and Enterprise Integration.- Strong expertise in Enterprise Data Architecture, Data Governance, Master Data Management (MDM), Metadata Management, Data Modeling, Data Quality, Data Lineage, and Data Lifecycle Management.- Hands-on ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

... approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. 6+ years of Advanced Analytics ...

... unstructured data. Build and manage modern cloud-based data platforms, data lakes, and data warehouses. Ensure data quality, integrity, governance, and security across data ecosystems. Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions. Optimize data workflows ...

... Dimensions (SCD), Entity and Grain Definition, KPI and Metric Design, Semantic Layer Development, Data Transformation and Aggregation, Structured and Semi-Structured Data, JSON / Nested Data, NoSQL concepts, Snowflake and/or Databricks, Practical Python, Data Quality, Reconciliation, and Validation, Analytical Data Warehousing ...