Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain TikTok Shop’s global backend systems, focusing on distributed data analytics platforms that power e-commerce insights and decision-making.
Builds and optimizes large-scale data pipelines and ETL processes using Spark, Kafka, and Hadoop in enterprise finance projects, ensuring reliable data integration and transformation.
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Продуктовый аналитик исследует поведение клиентов, проводит A/B-тесты и строит метрики для кредитных продуктов (POS/BNPL) в экосистеме банка, используя SQL, Python и системы визуализации.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and maintain cloud or on-premise data pipelines and advise clients on modern data solutions using Python, SQL, Spark, and cloud platforms.
Support Android publishers integrating an ad-tech SDK, troubleshoot issues, and automate tests using scripting languages like Python or Ruby.
Design and deploy AI/ML models (predictive, NLP, computer vision) for enterprise use cases, collaborating with stakeholders to deliver end-to-end analytics solutions on large-scale data.
Design and deliver modern data platforms for clients, assessing architecture maturity and defining roadmaps for governance, migration, and cloud enablement in a consulting role.
Design and build scalable ETL/ELT pipelines and real-time dashboards for industrial digitalization in oil & gas, petrochemicals, utilities, and manufacturing using Hadoop/Cloudera, PySpark, and BI tools.
Data scientist building predictive models, risk scoring, and Monte Carlo simulations for financial clients using Python/R and big-data tools.
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Designs and builds scalable data pipelines and products to power AI/ML models and analytics, using Python/Scala/Java, Spark, Airflow, Kafka, and related tools.
Senior Data Engineer at DiDi Global to own end-to-end data issues, optimize pipelines, and ensure reliability of large-scale mobility data systems using SQL, Python, and cloud warehouses.
Senior Data Analyst at DiDi troubleshoots large-scale data systems, optimizes pipelines, and performs root-cause analysis across BI, ETL, and infrastructure to ensure reliability and performance.
Senior Data Engineer at DiDi Chuxing troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
Designs, builds, and optimizes large-scale data pipelines and distributed systems using Python, PySpark, SQL, and cloud tools (GCP/Azure) to process high-volume datasets for clients.
Senior Data Engineer builds and optimizes ETL pipelines, migrates legacy systems to cloud platforms like Snowflake and Databricks, and designs scalable data workflows using Python, SQL, and Airflow for a financial services client.
Build and optimize scalable data platforms for a financial client using Snowflake, Databricks, Hive, and Airflow to modernize legacy systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.