164 marathi data entry jobs in Pune, India.

... implementations in traditional data engineering setups will greatly help in shaping our future designs. - Experience with machine learning pipelines (Spark MLlib, Databricks ML) for predictive analytics. - Knowledge of data governance frameworks and compliance standards (GDPR, CCPA). Preferred Qualifications B2B firmographic, ...

... protection standards.- Collaborate with stakeholders to establish data strategies and roadmaps for future-state https://jobeax.com/link/eg6iTzFmwFrzJtds Skills :- Data Architecture: Enterprise Data Architecture, Data Modelling, Data Integration, Data Warehousing, Data Lakes, Lakehouse Architecture- Databases: Oracle, SQL Server, ...

... and analytics-driven use cases - Develop high-performance data access layers and services, enabling efficient querying, transformation, and serving of large datasets - Work with modern platforms like Snowflake to build and optimize data workflows - Build and contribute to intelligent data products, leveraging GenAI/LLM ...

... scalable data-processing solutions. The ideal candidate should have hands-on experience with distributed data platforms, large-scale ETL/data pipelines, and big data technologies. Key Responsibilities - Design, develop, and maintain scalable Big Data applications and data pipelines . - Develop high-performance data-processing ...

... experience in data engineering, big data technologies, and data pipeline development. - Hands-on experience with Kafka-based streaming solutions and distributed data processing frameworks. Preferred Candidate Profile We are seeking a technically strong, hands-on Senior Data Engineer who can independently own data engineering ...

... troubleshooting capability Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting Extensive experience in data automation using Python High level of Proficiency in writing complex SQL queries in Azure Databricks from Business requirements to read data from source DB hosted ...

... Engage with internal stakeholders to understand requirements and translate into data analysis initiatives - Write and optimize complex SQL and Python queries in Databricks for data retrieval and reporting - Extract and manipulate data from multiple ERP systems and procurement platforms including SAP Ariba - Create data visualizations ...

Merck seeks a Master Data Analyst to design, configure, and maintain global method templates within the Empower Chromatography Data System. The role ensures analytical methods comply with regulatory standards and supports laboratory testing across multiple sites. Responsibilities - Create, configure, and maintain Empower ...

... in SQL Server 2016+, including advanced T - SQL, query performance tuning, partitioning, and database security.- Proven experience in conceptual and logical data modelling, master data management, data ownership, and enterprise data architecture.- Strong experience with Azure data services, particularly Azure SQL Database ...

... perspective gives us a competitive advantage. Position: Data Engineer Location: Pune, Maharashtra Job Description The Data semantic solution team is looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories ...

Document & Engineering Data Analyst Summary We are seeking a skilled Document & Engineering Data Analyst to manage and optimize the lifecycle of critical engineering information within our IT Services division. In this pivotal role, you will ensure the accuracy, integrity, and accessibility of complex technical documentation ...

... closely with the AI CX Lead to prioritise shape and execute against the AI customer experience roadmap. Data Extraction & Engineering: - Extract and maintain datasets from Zendesk and related systems - Build and optimise data pipelines into reporting and collaboration tools - Ensure data quality structure and accessibility ...

... scalable data pipelines using AWS Databricks PySpark Python and SQL. - Build robust ETL/ELT solutions to ingest transform and load structured and unstructured data from diverse source systems. - Develop and optimize large-scale data processing workflows using PySpark and Databricks. - Create and maintain data models curated ...

... location • Handle employee master data changes in SAP HCM & EC • Perform reconciliations and resolve discrepancies • Conduct Root Cause Analysis for recurring data issues • Prepare and publish MIS reports and dashboards • Ensure adherence to data governance, SOX and audit requirements • Support stakeholders and participate ...

... perform data transformation and processing.- Develop scalable data solutions using Python, SQL, and PySpark.- Build and support AIP-based solutions using Foundry data and Ontology.- Perform data validation, quality checks, and troubleshooting of data pipelines.- Collaborate with data engineers, business teams, and other stakeholders ...

... appropriate technical designs and data architectures.- Ensure data quality, consistency, reliability, and accuracy across data pipelines and datasets.- Troubleshoot data pipeline issues, optimize performance, and implement best practices for scalable data processing.- Collaborate with business stakeholders, data analysts, and ...

... acceptance. 4. Analyze, Validate & Work with Data - Write SQL queries to extract, join, compare, and validate data across different sources. - Use Excel for data analysis, reconciliation, and identifying inconsistencies. - Investigate data quality issues, mismatches, and business rule discrepancies. - Work with data engineers ...

Senior Data Engineer []

Responsibilities - Develop and enhance application systems and programs using application development procedures, programming concepts, and script tools. - Analyze and interpret code to identify system enhancements, vulnerabilities, and security issues.

... dimensional data modelling, reporting-ready data structures, semantic layers and enterprise reporting architecture. - Experience with data integration, reconciliation, data quality, performance tuning and cloud cost optimization. - Proven experience delivering enterprise-scale reporting, cloud data platform or modernization initiatives. ...