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Location: Bengaluru,None,None About us WeWork India is the country’s leading flexible workspace provider that offers a personalized experience to different types of professionals with varied needs through its…
Location: Bengaluru,Karnataka,India About us WeWork India is the country’s leading flexible workspace provider that offers a personalized experience to different types of professionals with varied needs through its…
This Data Engineer/BI Developer role involves designing and implementing data pipelines, migrating legacy ETL workloads to Microsoft Fabric, and building analytics solutions using Power BI. The position requires extensive experience with the Microsoft data stack and involves working directly with clients in a consulting capacity.
Job Title : Data Modeler / Data Engineer Location: Dallas, TX (Onsite/Hybrid as per client requirement) Duration: Long-Term Contract Required Skills : 8 years of Data Modeling / Data Engineering experience Strong…
Senior Data Engineer building scalable cloud-based data pipelines and BI solutions for WestJet's Revenue Analytics team, using Snowflake, SQL, and Python on-site in Calgary.
The Senior Data Engineer will design and maintain scalable ELT pipelines and data products on Snowflake to support enterprise analytics and reporting. The role involves collaborating with cross-functional teams to ensure data quality, security, and compliance within the financial services domain.
The Principal Data Engineer will lead data architecture strategy and GenAI initiatives for diagnostic products using AWS, Python, and Spark. This role involves hands-on technical leadership, mentoring developers, and ensuring data compliance in a healthcare environment.
Build and maintain the data foundations for a legal AI platform, modeling product analytics, KPIs, and dashboards using BigQuery, dbt, and Python.
The Data Engineer will design, build, and optimize scalable batch and streaming data pipelines and models using Databricks. The role involves collaborating with cross-functional teams to ensure data quality, security, and performance within a large enterprise environment.
The Data Engineer will design and maintain scalable data pipelines for mine planning and technical services using Snowflake, dbt, SQL, and Python. This role focuses on data modelling and performance optimization within a collaborative team environment.
Senior Data Engineer designing and building GYG's end-to-end data platform on Microsoft Fabric — from ingestion pipelines and medallion architecture to governed Power BI semantic models — supporting sales, ops, and people reporting across the restaurant chain.
Designs and deploys secure, scalable data pipelines and warehouses for defense/intelligence clients, using Spark, Kafka, and cloud platforms in classified environments.
Builds and maintains data pipelines for defense/intelligence, handling ingestion, transformation, and quality checks of structured/unstructured data in secure environments using Python, SQL, and Docker.
Job Purpose At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions…
The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure on Google Cloud Platform. The role involves transforming raw data into reliable business-ready datasets using Python, SQL, BigQuery, and Airflow.
Senior Data Engineer on a staff-augmentation team designing and building scalable ELT pipelines on a Snowflake/dbt/Airflow stack for a SaaS data platform working through a post-acquisition data backlog.
Transform raw data into trustworthy datasets and Looker visualisations using SQL, dbt, and Snowflake, collaborating with analysts and engineers on a hybrid schedule in Barcelona or London.
A bit about the role and what you'll do... We are looking for an exceptional Data Analyst to join our team. This is not a traditional reporting role - you will be at the centre of real-time analytics, AI-driven…
Design and build data pipelines and warehouses to handle high-volume processing, integrating complex data structures and ensuring data quality. Work with SQL, AWS tools (Redshift, Glue, EMR), Spark, and Hadoop in a cloud environment.
Builds and maintains data pipelines, warehouses, and models using Snowflake/SQL/Data Vault to transform raw data into actionable insights for analytics.
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