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Build and maintain data infrastructure—ETL pipelines, cloud data warehouse, and automated reporting—for a private credit investment firm in Gurugram, working with loan-level datasets and integrating servicer/financial data sources using SQL, Python, and cloud warehouses.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
GCP Data Engineer building scalable, AI-ready data pipelines and cloud-native data solutions on Google Cloud Platform, collaborating with enterprise architects and analytics teams on large-scale data modernization initiatives.
Senior Data Engineer designing and building data pipelines, data warehouses, and ETL/ELT processes on Azure, using SQL, Python, Spark, and tools like Data Factory, Databricks, and dbt.
Senior Data Engineer building data products and BI/analytics solutions for a real-estate investment manager, using Snowflake, SQL, dbt, and ETL tools in an Agile team.
Lead Data Engineer building end-to-end data platforms using Medallion architecture, dbt, Python, and cloud services (AWS/GCP/Azure) for client engagements, with hands-on coding, architectural decisions, and mentoring responsibilities.
Lead Data Engineer architecting cloud-native data platforms (data lakes, lakehouses, warehouses) for PE portfolio companies, using tools like Databricks, Snowflake, Azure Synapse, dbt, and AI tooling to build AI-ready analytics infrastructure.
Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
Lead GCP Data Engineer designing and deploying end-to-end data lake and analytics solutions on Google Cloud Platform for industrial and government sector clients, including pre-sales and proposal/bid work.
Build and maintain an enterprise data lake on BigQuery, design ETL pipelines in Python across ERP/CRM sources, and develop ML forecasting models and AI agents using LLM APIs.
Designs, develops, and manages cloud-based data integration pipelines using Fivetran. Works with SQL, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse), and dbt to deliver reliable data for reporting and analytics.
Data Engineer designing and building data pipelines, ETL/ELT processes, and data models using Azure Data Factory, SQL, and big data technologies to support analytics and business insights.
Design, build, and maintain scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, Dataflow, and Dataproc while ensuring data quality and collaborating with analysts.
Launched in 2012, Amex Offers is a digital advertising platform that connects merchants and brands with tens of millions of American Express Card Members globally. Through closed-loop insights, advanced targeting…
Builds and maintains data pipelines, warehouses, and reporting systems to support business analytics, marketing insights, and management decisions for a medical spa chain.
This job posting is available in English and Canadian French. Please scroll down for the French version. Cette offre d’emploi est disponible en anglais et en français (Canada). Veuillez faire défiler pour la version…
The Marketing Data Analyst will analyze customer data and digital journeys to provide actionable insights for e-commerce and campaign strategies. The role involves creating automated reports and dashboards using tools like Adobe Analytics, Qlik, and Looker Studio to support data-driven decision-making.
Senior Power BI Architect leading enterprise-scale BI platform design, semantic modeling, governance, and cloud integration with Azure ecosystems.
Senior Power BI Architect leading the design and delivery of enterprise-scale BI and analytics solutions, focusing on data integration, semantic modeling, visualization, governance, and performance optimization using Power BI and Azure ecosystems.
Data Engineer building large-scale ETL/ELT pipelines on GCP (BigQuery, Dataflow, Composer/Airflow, Pub/Sub), ensuring data quality and governance, and mentoring junior engineers.
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