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Builds and optimizes big-data pipelines and lakehouse systems using Java/Scala, Spark, Iceberg, Kafka, and Kubernetes for distributed ETL and analytics.
Build and maintain data pipelines and ETL processes for Moscow’s Digital Twin, using PostgreSQL, Spark, Airflow, and Python to support urban planning decisions.
Analyzes fraud trends and builds dashboards in QlikSense to detect anomalies and support data-driven anti-fraud decisions using SQL, Python, and BigData tools.
Field Application Engineer for Hive Robotics, deploying and supporting drone/robot swarm systems in customer environments, troubleshooting hardware/software issues, and driving product adoption.
Senior Resident Architect at Honeycomb designs and implements observability strategies for customers, advising on telemetry schema, distributed tracing, and instrumentation best practices using OpenTelemetry and cloud-native tools.
Lead Data Analyst oversees experimentation, KPIs, and scalable reporting for Żappka’s digital products using SQL, Python, and BI tools to drive growth and business decisions.
Lead a team building AI/ML models for retail item data, including GenAI, LLMs, and computer vision to automate catalog management, attribute enrichment, and search relevance at scale.
Lead Data Scientist focused on developing and deploying generative AI/ML models (LLMs, RAG, deep learning) to solve retail challenges, collaborating with cross-functional teams to build scalable, production-ready AI solutions using Python, PyTorch/TensorFlow, and cloud-native tools.
Senior/Lead Data Analyst builds and maintains DWH, ETL pipelines, and data models for fintech clients, using SQL, PostgreSQL, Greenplum, and Airflow.
Build and deploy predictive and prescriptive algorithms in Python to optimize Target’s middle-mile supply chain, collaborating with engineers to scale solutions across millions of SKU-network combinations.
Senior Data Analyst at Target’s Planning & Inventory Management team uses SQL, Python, and AI-driven tools to analyze retail data, optimize inventory, and forecast demand, improving supply chain decisions.
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI venture.
Lead Data Analyst at Target India builds marketing analytics, dashboards, and AI-driven solutions to measure campaign performance and guide retail strategy using SQL, BigQuery, and Python.
Analyzes retail and AI-driven product data to shape business strategies, using SQL, Python, and cloud data warehouses like Snowflake.
Builds and maintains financial transaction systems using PySpark, Java/Spring Boot, and AWS, focusing on data processing, RESTful services, and secure software engineering.
Salary: $120 - $140 - inc Super - Weekly Pay Options Experience in website design with a focus on UX Understanding of Vue JS or React Knowledge of DynamoDB and PostgreSQL Our client, a Federal Government entity who…
Design and implement scalable software architectures for Honeycomb’s observability platform, focusing on distributed systems and high-performance data pipelines.
Backend Engineer Intern working on WeChat's global platform (excluding mainland China), developing new projects and features with backend technologies including C++, Python, Golang, Java, or Scala.
Design and build scalable data pipelines and warehouse models to deliver trusted insights from product and corporate systems to Salesforce teams using ETL, SQL, and big-data tech.
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
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