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Designs and maintains ETL pipelines using tools like SSIS, Pentaho, or AWS Glue to move and transform data into reliable datasets for analytics and business insights.
Design and implement scalable data architectures, ETL/ELT pipelines, and analytical models for clients using Python, SQL, Snowflake, and cloud platforms like Azure or AWS.
Designs and builds scalable data pipelines and lakehouse architectures, integrating SAP, CRM, and cloud sources using Snowflake, Databricks, or similar platforms.
Design and maintain scalable data pipelines and infrastructure using cloud services, Spark, and data warehouses to power analytics and AI initiatives at a media-tech company.
At PwC, our people in Cloud, Data and AI focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve…
Build and scale high-throughput data pipelines and streaming systems using Spark, Airflow, and AWS to power real-time music discovery for 100M+ fans.
Lead a team to migrate data infrastructure from MongoDB to Redshift, modernizing systems with AWS Glue and PySpark while building AI-driven solutions.
We are a Data & AI Architects team focused on helping customers understand what this new AI era makes possible, and what it actually takes to make the possible a reality: the right architecture, a trusted data…
Lead pre-sales engagements for data lakehouse and analytics platforms, designing architectures that align with customer needs and drive revenue growth.
Build and maintain a cloud data platform on AWS for a global software services client, focusing on S3 and Redshift integrations.
Designs, builds, and maintains ETL pipelines and SQL processes to load data into reporting data marts like Teradata and Redshift, using Python, Unix scripting, and AWS tools.
Your Mission This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and…
Job Description Build & optimize a high performance data platforms that powering analytics, dashboards , and AI models Pioneer team to freeing Data Scientists & Analysts team from manual engineering Salary up…
Build and maintain analytics-ready data models in a cloud data warehouse using SQL and dbt, transforming raw data into trusted datasets for business use while collaborating with data engineers and analysts.
Build and maintain a scalable data platform and AI tooling in Hyderabad using cloud infrastructure, Kubernetes, Airflow, dbt, and CI/CD pipelines to support analytics and LLM services.
Designs and builds scalable data pipelines and architectures using Python, SQL, and cloud platforms (AWS/Azure/GCP) to transform raw data into actionable insights.
We're looking for a Senior Data Engineer to design, build, and optimise scalable data platforms that support analytics, AI/ML, and smart manufacturing initiatives. You'll lead the development of batch,…
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable data across the organization.
Senior Data Analyst validates enterprise data pipelines, ETL processes, and Tableau dashboards using SQL, root-cause analysis, and AI tools to ensure accurate healthcare analytics.
Senior Backend Engineer builds and maintains distributed data infrastructure at LaunchDarkly, handling streaming/batch pipelines, analytical stores, and warehouse exports using technologies like Kinesis, ClickHouse, and Spark.
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