10,884 data manager jobs in India.

... cost. Build critical solution components and reference implementations when required. Design solutions across enterprise applications, APIs, cloud services, data platforms, AI services, and legacy technologies. Establish scalable, resilient, and maintainable solution foundations. Define clear ownership boundaries, interfaces, ...

... growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution. Manager Product Integrity - Electrical and Electronics, Power Train, Proprietory and Assemblies ” will lead a Global SQ category-based team for quality development ...

Job Title: Technical Project Manager Location: Hyderabad Job Summary We are looking for a Technical Project Manager with strong experience in Azure and Databricks to lead data engineering and analytics projects. The candidate will be responsible for managing end-to-end project delivery, coordinating with cross-functional ...

... scheduling, identity validation support, documentation tracking, and onboarding readiness. The position partners closely with EWCOE, Procurement, suppliers, hiring managers, Global Security Management, Digital Workplace Services, and other business stakeholders to ensure contingent workforce activities are completed accurately, ...

... RESPONSIBILITIES - Execute routine HR transactions including onboarding, offboarding, promotions, transfers, and benefits setup. - Maintain employee records and ensure data accuracy in HRIS systems. - Respond to employee and manager inquiries on HR policies, pay, benefits, leaves, performance management, and company guidelines via ...

The team member will regularly interact with internal stakeholders, including hiring managers, interview panel members, HR teams. Responsibilities include gathering hiring requirements, providing recruitment status updates, managing candidate pipelines, coordinating interviews, facilitating hiring decisions, negotiating ...

... with policies and procedures. Record, store, access, and/or analyze computerized financial information. Classify, code, and summarize numerical and financial data to compile and keep financial records, using journals, ledgers, and/or computers. Prepare, maintain, audit, and distribute statistical, financial, accounting, ...

... long-term deals on the ground. Responsibilities • Visiting 7-9 clients daily to pitch them Apna’s hiring products · • Generate prospects and share with your manager all data pertaining to market · • Manage objection handling of customers with respect to product, competition, pricing & expectations. · • Selling recruitment ...

... delivery centre operational since 2019, with the Chakan–Talegaon automotive belt inside a morning's drive - Budget for the CRM you choose in month one, plus data, tooling, and events - Prospect, discover, propose, negotiate, win, then grow accounts through cross-sell and upsell. Build the pipeline machine. Build account ...

Senior Data Engineer II Join our Data Engineering, Analytics & Intelligence team The Data Engineering, Analytics & Intelligence team is the engine behind our data-driven culture. We partner across the enterprise—from Finance (Accounting, Customer Revenue Operations, Business Finance) to Sales and Marketing—to build the ...

... reasoning models autonomous agents) for HR use cases. https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS in Computer Science Data Science AI or related field Relevant years of experience in Data Science / AI / ML roles Experience in Gen AI Agentic AI will be preferred Relevant years of experience ...

... identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Prepares big data, implements data models, and develops database to support the business ...

... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... stakeholders. Data Pipeline Design Operations: Design, develop, and support data pipelines to extract, transform, and load (ETL/ELT) data into the new harmonized data platform. Utilize Azure Data Factory (ADF) for orchestration (scheduling, workflow management) and Azure Databricks (Spark) for large-scale data transformation ...

... quality. Big Data - Big Data - Pyspark Database - Database Programming - SQL Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark Data & AI - Data Engineering - Data Quality & Validation Data & AI - Data Engineering - Apache Kafka Big Data - Big Data - Azure databricks Data Science and Machine ...

... (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. ...

... processes to seamlessly integrate data from multiple sources into our data warehouse. Implement advanced data modeling techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate ...

... stakeholders. Data Engineering Data Warehousing Data Modelling ETL / ELT Development Data Integration Data Quality Management Data Reconciliation Data Governance Data Lineage & Metadata Management Oracle Database Advanced SQL / PLSQL SAP BODS Oracle Data Integrator (ODI) Python Unix / Linux Performance Tuning Data Analysis ...

... Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.- Optimize data storage ...

... cost-efficiency of production data infrastructure , with monitoring, alerting, and SLAs appropriate for a system that makes real-time risk decisions Collaborate with data science and ML teams to design feature stores and data pipelines that shorten the path from raw signal to deployed model Champion data engineering best practices, ...