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Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Design and build cloud data pipelines in AWS using PySpark and AWS Glue to process and transform data for analytics and reporting.
Build and maintain AWS cloud infrastructure for a smart metering platform that processes large IoT data volumes, focusing on automation, CI/CD, and Infrastructure as Code.
Build and maintain data pipelines, warehouses, and lakes using SQL, Python, Spark, and cloud platforms to power analytics and AI products.
Build and maintain ETL/ELT pipelines in Python/SQL, optimize Snowflake queries, and run Airflow workflows to turn raw freight sensor data into analytics and ML features for a logistics intelligence platform.
Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Designs and maintains scalable data pipelines and warehouses for analytics and ML using Snowflake, dbt, ADF, and Azure; writes efficient SQL and Python to process large datasets.
Designs and builds GCP-based data pipelines, warehouses, and storage systems using BigQuery, Airflow, and Python; troubleshoots performance issues and mentors junior engineers.
Builds and maintains scalable data pipelines and AI-ready infrastructure using Python and SQL to process large datasets for analytics and AI integration.
Senior Data Engineer builds and maintains scalable data pipelines for a global wealth management firm, using Snowflake, dbt, Prefect, and Workato to deliver analytics-ready financial data for executives.
Designs and builds scalable Azure Databricks Lakehouse pipelines using Spark and Azure Data Factory to power analytics and ensure data quality.
Build and optimize a Databricks/Spark-based data platform, design scalable ETL/ELT pipelines, and automate enterprise data flows while ensuring security and governance.
Build and maintain scalable data pipelines and analytics infrastructure for a mobile RPG game, transforming raw gameplay data into clean datasets for insights and LiveOps decisions.
Builds and maintains data pipelines, ETL/ELT workflows, and a data warehouse to feed internal apps and analytics for a Polish energy-trading company.
Build and optimize scalable data pipelines, warehouses, and AI/ML integrations in Python and GCP for network investment analytics in a hybrid role.
Designs and builds scalable data pipelines on Databricks and Azure, using Python/PySpark and Azure Data Factory to integrate and process large datasets.
Design and maintain scalable ELT/ETL pipelines using Airflow, Snowflake, and Databricks to feed AI-driven analytics and models.
Designs and builds scalable ETL/ELT pipelines and data platforms using Hadoop, Spark, and Splunk, integrating HR data sources and collaborating with BI and analytics teams.
Designs and maintains AWS-based data platforms, builds scalable ETL/ELT pipelines using PySpark, and manages cloud infrastructure for data processing.
Designs and maintains cloud-based ETL/ELT pipelines using Databricks, Spark, and Python to feed marketing analytics and reporting for a global FMCG brand.
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