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Data engineer who designs and maintains data infrastructure for analytics and AI: building data pipelines, transformations, databases, and data models, and monitoring data quality, performance, and security. Core technologies are SQL, Python, ETL, cloud platforms, and databases.
Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • 7+ years of experience in QA, Data Warehouse Testing, ETL Testing, or Data Quality…
Installs, configures, and manages enterprise Hadoop clusters and their ecosystem (Spark, Ambari, ZooKeeper) at PT Karya Solusi Prima Sejahtera in Indonesia. The role covers platform administration plus architecture assessment, integration, and complete technical documentation.
Big Data Engineer at an Indonesian IT/telecom professional-services firm: assesses, installs, configures, and secures enterprise-scale Apache Hadoop clusters (Hadoop, Spark, Ambari, ZooKeeper, Kerberos), integrates them with existing data warehouses, and delivers documentation and knowledge transfer to internal administrators.
Data Engineer Manager at Orang Tua Group (consumer goods) in Indonesia. Day to day: lead development and optimization of analytical reporting/BI systems, build and oversee big data pipelines and ML model integrations, run code reviews, troubleshoot user issues, and report progress to senior leadership. Core tech: Python, big data architectures, machine learning workflows, BI reporting.
Lead data engineer at Orang Tua Group who develops and optimizes code for analytical reporting and BI systems, builds and manages Big Data pipelines, and integrates ML models. The role also involves code review, investigating user issues, tracking milestones, and reporting progress to senior leadership.
A mid-level data engineer keeps real-time data pipelines running: monitoring Debezium CDC connectors, troubleshooting Python consumers processing Solace messages, loading transformed data into an on-prem Oracle ODS, and supporting Kubernetes deployments. Core stack: Debezium, Python, Kubernetes, and RDBMS (Oracle/PostgreSQL/SQL Server).
Data engineer at PT Abishar Technologies Indonesia who monitors Debezium CDC connectors, optimizes Python-based data processing pipelines, supports Solace message flows and Oracle on-prem data delivery, and resolves pipeline bottlenecks in a Kubernetes environment. Requires 4+ years in data engineering.
The Finance Data Engineer will build and maintain automated, AI-driven finance pipelines and agentic workflows to ensure data sovereignty and compliance. The role involves integrating SAP and other financial systems while implementing strict data classification and validation frameworks.
CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the…
NielsenIQ is hiring a Data Engineer to build and optimize large-scale data pipelines using Spark, Scala/PySpark, Databricks, Airflow, SQL, and Azure. Day to day: hands-on pipeline development, transforming and integrating data, CI/CD practices, and cross-team collaboration to deliver customer insights and data products.
An Azure Data Engineer in Monterrey, Mexico who builds data ingestion pipelines from SAP and non-SAP sources into Azure Data Lake Storage using Azure Data Factory, with a focus on ETL into Snowflake and pure SQL for efficient, scalable pipelines.
Lead Data Engineer at Lagersoft will lead a 5-person data team and own the end-to-end data architecture — ingestion, processing, modeling, and consumption — on an AWS stack (Airflow, PySpark, Glue, S3/Delta/Iceberg, Redshift, Athena) for a gaming platform, enabling reliable reporting, analytics, and LLM consumption. Remote role for candidates based in Monterrey, Mexico.
Builds and scales Omni's internal growth data platform, turning messy GTM signals into reliable, auditable workflows via queues, workers, and integrations with CRM, enrichment, and ads APIs. Day-to-day work centers on Snowflake, dbt, Dagster, AWS, and Python/SQL.
Lead/Senior Data Engineer who designs, builds, and optimizes large-scale data pipelines on Azure Databricks using PySpark, Delta Lake, and SQL migrations, while setting engineering standards, running code reviews, and mentoring a distributed team. Secondary stack includes .NET, Angular, MongoDB, and AI tooling like LangChain and RAG.
Posted under a Data Engineer title, the actual role described is a Business Performance manager at Beratung's Global Business Services Center in Warsaw: owning RTN's business performance framework, managing budgeting, forecasting and financial accounting, and building analytics such as KPI dashboards. Requires a finance/economics/business degree and extensive FP&A experience.
A data engineer in Gothenburg joins an agile automotive team to design, build, and operate Apache Airflow workflows, including migrating Jenkins pipelines to Airflow. Day-to-day work centers on Python, ETL/ELT orchestration, and integrating SQL databases, REST APIs, and external systems.
Remote 6-month contract Data Engineer working on a Snowflake data migration project: building Azure Data Factory pipelines, writing dbt transformations for Snowflake, and managing code and CI/CD in Azure DevOps. Requires ~3 years of experience with the Snowflake/Azure data stack.
Contract (6 months, remote in India) Senior Data Engineer role on a Snowflake data migration project. Day to day involves building Azure Data Factory pipelines, writing dbt transformations for Snowflake, and managing code and CI/CD in Azure DevOps, using Snowflake and Azure Data Lake.
Data engineer at Sublime Data, a boutique data/AI consulting firm and Databricks partner in Ahmedabad, India. Day to day: design, build, and maintain Databricks pipelines (PySpark, Delta Lake, Delta Live Tables, Workflows) for client data migration and modernization projects on Azure (and AWS/GCP), in a client-facing, in-office role with some travel.
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