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Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Designs and maintains ETL workflows with Informatica PowerCenter and Python, builds Spark/Hive pipelines on HDFS, and optimizes SQL for Oracle/Teradata to support banking data platforms.
Designs and maintains scalable data pipelines and warehouses for a global game publisher, ensuring clean, reliable datasets for analytics and product decisions.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
Designs and builds data pipelines, warehouses, and reporting systems using Python, PySpark, Hive, and cloud platforms to support analytics and visualization tools like Tableau.
Design and maintain scalable data pipelines to process large-scale datasets, ensuring data quality and integrity using SQL and big data tools like Spark and Hive.
Builds scalable streaming and batch data pipelines for TikTok’s ad-data products, ensuring high-quality data for marketing analytics using tools like Spark, Kafka, and ClickHouse.
Designs offline data architectures for TikTok’s live recommendation systems, builds scalable storage/compute, and troubleshoots production pipelines with ML teams.
Build and maintain scalable data pipelines and BI dashboards for a fintech company, using big data tech like Spark and cloud platforms such as GCP.
Job Description: Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Solve complex data problems to deliver insights that help the organization…
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Build and maintain scalable data pipelines and feature platforms for ML systems at the world’s largest crypto exchange, using Java/Scala and big-data tech like Spark and Flink.
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Builds and scales backend systems to detect and prevent account abuse, working with ML engineers to protect users globally using Python/Go and big-data tools.
Builds and optimizes Huawei’s big-data stack, ETL pipelines, and search/recommendation systems using Spark, Hive, Hadoop, and Python/Java/Scala.
Design and execute large-scale data migrations from Cloudera and legacy systems to Azure Databricks using ADF pipelines, ensuring data integrity and reconciliation.
Builds and maintains big-data pipelines using Hadoop, Spark, Hive, and SQL to transform raw data into analytics-ready datasets.
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.
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