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Design and build scalable data pipelines and architectures on Databricks/Azure for clients, translating business needs into robust ELT/ETL solutions while collaborating with stakeholders.
Senior Data Engineer builds and optimizes a lakehouse architecture and ClickHouse deployments, plus ETL/ELT pipelines for a Polish real-estate firm using Python and SQL.
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Senior Data Engineer builds and maintains scalable data pipelines and lakehouse platforms using Databricks (Spark, Delta Lake), Python, and SQL to support anti-financial-crime analytics for PwC’s global clients.
Design and build a modern data platform on Databricks and Azure, developing scalable ETL/ELT pipelines with Python and PySpark to integrate data sources for AI-assisted development.
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Designs and builds cloud data pipelines on Azure Databricks, integrating PySpark, Delta Lake, and Azure Data Factory to power analytics and BI for enterprise clients.
Builds and maintains data pipelines for internal apps and trading analytics in an energy-focused fintech company using SQL, Python, and Airflow.
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Designs, builds, and scales cloud data pipelines and data lake platforms using ETL/ELT workflows, collaborating with analytics and data science teams.
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake and Azure to support anti-financial-crime analytics and reporting for PwC’s global clients.
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data models, and automated compliance systems for a fintech POS-financing platform using Snowflake, Airflow, dbt, and AWS.
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Build and optimize a modern data platform on Databricks and Azure, designing scalable ETL/ELT pipelines and integrating data from Delta Tables and Event Hub using Python and PySpark.
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.
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