Average salary: Rs5,127,633 /yearly
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- ...existing products and potential new launches.- Develop knowledge of index calculation methodologies & processes and maintain the index database in accordance with changes in Index constituents, coverage, or methodology.- Contribute in projects relating to client or internal...Suggested
- ...responsibilities in accordance with AW s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AW business information assets.- Must pass a criminal background check and an employment verification as a...Suggested
Rs 5 - 9.5 lakhs p.a.
Key Responsibilities Translate customer experience strategies into detailed technical blueprints and feasible solutions Design, develop, and enhance custom software components across systems and applications Collaborate with cross-functional teams to ensure alignment...SuggestedRs 15 - 30 lakhs p.a.
• Design and optimize ETL pipelines and data processing workflows • Build and maintain scalable data models and warehouse structures • Translate business requirements into technical data solutions • Ensure data quality, performance, and reliability of systems • Contribute...SuggestedRs 4.5 - 9 lakhs p.a.
..., and quality Build and maintain robust data pipelines for structured and unstructured data processing Ensure data integrity, reliability, and performance across data systems Support optimization of data models and database structures for analytics and reporting...SuggestedRs 10 - 20.5 lakhs p.a.
• Build and maintain ETL pipelines and data workflows • Design and implement data models and warehouse structures • Collaborate with teams to define technical requirements • Ensure data quality, consistency, and performance optimization • Support continuous improvement...SuggestedRs 10 - 20.5 lakhs p.a.
• Design and develop scalable data pipelines using Microsoft Azure stack • Build and manage data workflows using Azure Data Factory and Databricks • Process streaming and batch data using Spark clusters and Databricks services • Develop and maintain data models for structured...SuggestedRs 5 - 9.5 lakhs p.a.
...implement, and maintain ETL workflows for spatial data Perform data validation and quality control (QC) routines to ensure accuracy and integrity Conduct root cause analysis (RCA) for data inconsistencies or errors Work hands-on with FME, QGIS, or ArcGIS for data...SuggestedRs 4.5 - 8.5 lakhs p.a.
Key Responsibilities Translate high-level customer experience strategies into technical blueprints and implementation plans Design, develop, and enhance software components across applications and systems Collaborate with cross-functional teams to deliver scalable ...SuggestedRs 15 - 30 lakhs p.a.
• Implement and manage marketing analytics solutions using Adobe Analytics and Google Analytics • Configure and maintain Adobe Launch and Adobe Target for tracking and personalization • Analyze marketing performance data and generate actionable insights • Work closely with...Suggested- ...implementing modern cloud-native technologies across platforms such as Azure AWS or GCP using tools like Databricks Snowflake and enterprise integration frameworks. The Director will oversee end-to-end development of high-performance data pipelines using SQL Python PySpark and ETL/...SuggestedFull timeRemote job
- ...reporting and analytics solutions. - In-depth understanding of database management systems, online analytical processing (OLAP) and ETL... ...understanding of the Microsoft technology stack (SQL Server, SQL Server Integration Services, Analysis Services, Tabular model) - Experience in...SuggestedWork at office
- Job Description :Job Responsibilities :- Design, develop, and maintain efficient database solutions using SQL Server, SSIS (SQL Server Integration Services), or other ETL tools.- Create and manage ETL processes to extract, transform, and load data from multiple sources into...Suggested
Rs 5 - 9 lakhs p.a.
...and maintain scalable data pipelines and analytics solutions within the GCP ecosystem Collaborate with cross-functional teams to integrate data analytics solutions into business workflows Apply best practices in data engineering and analytics to support business intelligence...Suggested
