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Build and maintain robust data pipelines, ensuring quality and integrity, while collaborating with clients to optimize their data infrastructure using tools like Spark, Kafka, and cloud services.
Builds and maintains AI-powered data pipelines and BI dashboards in Python and Dagster, ensuring GDPR compliance for healthcare decision-making.
Build and maintain scalable data pipelines using Talend and Google Cloud Platform (BigQuery, Dataflow, etc.) to deliver reliable data solutions for client projects.
Build and maintain ETL/ELT pipelines and data models to integrate and transform customer data, then load it into warehouses/lakes for analytics and BI tools like Power BI.
Build and maintain robust data pipelines and cloud infrastructure for enterprise clients, using Python/Java/Scala, SQL/NoSQL, Spark, Kafka, and AWS/Azure/GCP.
Build and maintain data pipelines, model data in BigQuery with dbt, and migrate to GCP and Looker while ensuring data quality and collaborating with BI and business teams.
Senior Data Engineer builds and maintains cloud-based data pipelines for enterprise clients, using Python, SQL, dbt, and Airflow to integrate, transform, and deliver reliable analytics-ready data.
Senior Data Engineer builds and maintains robust data pipelines, ensuring quality and integrity while collaborating with clients to optimize data infrastructure using tools like Spark, Kafka, and cloud services.
Build and maintain data pipelines, ETL processes, and BI dashboards using Python, GCP/AWS, and Power BI to support business analytics and reporting.
Designs and builds scalable data pipelines in Python, SQL, dbt and Airflow, manages cloud data warehouses (BigQuery, Snowflake, Databricks), and explores generative AI to automate workflows for enterprise clients.
Design and build scalable cloud data architectures (Snowflake, GCP/AWS/Azure) and robust ETL pipelines, then expose clean, governed data to analytics and AI teams using dbt and modern data-stack patterns.
Designs, builds, and optimizes GCP-based data pipelines, Data Lake, and Warehouse for a strategic project, ensuring data quality and performance.
Build and automate a data warehouse and dashboards for a mobile game studio using BigQuery, Python, and APIs to support game design and marketing decisions.
Build and maintain robust data pipelines for a retail client, using Python, SQL, dbt, and GCP services like BigQuery and Airflow to ensure high-quality, production-ready data for BI and AI teams.
Build and maintain cloud data pipelines that feed operational apps, auto-generate GraphQL APIs, and ensure scalable, observable performance in BigQuery.
Designs and builds data pipelines on Google Cloud, models data in BigQuery, and creates dashboards in Looker using SQL and Python.
Build and maintain scalable data pipelines and models using Python, SQL, dbt, BigQuery, and Airflow to power analytics and reporting for a digital-offer platform.
Build and maintain scalable data pipelines and cloud infrastructure for a media company’s data platform using Python, Spark, SQL, GCP, Airflow, and Terraform.
Build and deploy data pipelines, models, and dashboards for insurance clients using Python, SQL, and cloud tools to turn raw data into actionable insights and AI use cases.
Design and implement scalable cloud data pipelines and warehouses for clients using GCP/AWS/Azure, BigQuery, Spark, and DevOps practices.
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