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Lead the design and operation of secure, scalable data pipelines and platforms that power analytics and decision-making across a government-linked organization.
Build and optimize a modern cloud-first data ecosystem for a fintech retailer, using Azure, Databricks, and PowerBI to create analytics and reporting solutions that drive operational efficiency and compliance.
Senior Data Engineer builds and scales high-volume streaming/batch pipelines (Python, Kafka, Trino/Iceberg, dbt, Airflow) to power Wise’s global marketing engine and customer data platform.
Designs and leads Salesforce Consumer Goods Cloud implementations for FMCG clients, focusing on offline mobile sync, integrations, and scalable architecture.
Senior Data Engineer builds and optimizes ETL pipelines, cloud data infrastructure, and Python apps to process millions of music-industry records daily using AWS, Snowflake, Spark, and Airflow.
Design and lead Salesforce Consumer Goods Cloud solutions for FMCG clients, focusing on offline mobile sync, integrations, and scalable architecture.
Build and maintain dashboards, transform data in BigQuery with dbt, and deliver ad-hoc analyses to guide business decisions using SQL, Python, and Metabase.
Build and optimize Pelico’s Java-based ETL backend to process large-scale manufacturing data for aerospace and industrial clients.
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, SQL, and AWS, integrating data from APIs and databases into Delta Lake tables.
Builds and maintains Azure-based data pipelines and warehouses, ensuring clean, reliable data flows for analytics and reporting.
Lead a team building and scaling Azure-based data pipelines and AI-ready data models for a large ecommerce retailer using PySpark, Databricks, and Data Factory.
Build and maintain secure, scalable data pipelines and platforms for intelligence fusion, enabling analytics and AI/ML in high-stakes government and defense environments.
Build and deploy production-grade AI agents on the DevRev platform, integrating with enterprise systems and proving measurable business impact through hands-on technical delivery.
Build secure, scalable data pipelines and platforms for intelligence workflows, integrating classified sources and enabling analytics/AI in regulated environments.
Builds and optimizes high-throughput data ingestion pipelines and search systems to transform unstructured clinical text into structured oncology data models, using Scala/Elixir, OpenSearch, and OCR pipelines.
Build and maintain scalable data pipelines, vector stores, and LLM-driven BI systems using Python, Spark, and cloud ML services to power real-time AI applications.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s cloud and on-prem environments, using Data Factory, Databricks, and SQL.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s multi-cloud and on-premises environments using Azure Data Factory, Databricks, and SQL.
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180 countries.
Build and scale cloud data pipelines on GCP to ingest and process large datasets for AI model training, working closely with AI scientists.
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