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Data Engineer at PT Telkom Indonesia in Samarinda who designs, builds, and maintains data engineering systems and pipelines, ensures data quality, and performs data analysis to support business decisions. Core stack includes SQL, Python, big data tools (Hadoop/Spark), and optionally cloud platforms (AWS/Azure/GCP).
Data Engineer at PT Telkom Indonesia in Ciamis, West Java, designing data warehouses, building and maintaining ETL data pipelines and data models, and analyzing big data for business insights. Core stack: Python, SQL, Hadoop, Spark, and data visualization tools.
Data engineer at PT Telkom Indonesia in Situbondo, East Java, designing and maintaining efficient data pipelines and performing data analysis to support business decisions. Works with SQL, Python, Hadoop/Spark, data warehousing, and cloud platforms (AWS, Azure, GCP); requires 2+ years of data engineering experience.
Data Engineer at PT Telkom Indonesia in Ternate who designs and builds data warehouse systems, processes and analyzes big data, develops predictive/ML models, ensures data integrity and security, and creates reports and visualizations. Core stack: SQL, Python, Hadoop, Spark, and AWS/Azure/GCP.
Data Engineer at Telkom Indonesia in Rembang, Central Java: design, build, and maintain data engineering systems, manage data from multiple sources, and prepare it for analysis and reporting while ensuring data quality. Core stack is SQL, Python, and Big Data tools like Spark and Hadoop.
Data Engineer at PT Telkom Indonesia (state-owned telecom) in Sumenep, East Java: design and manage data infrastructure, build and maintain data pipelines, develop data models, and support decision-making with analysis. Core stack: SQL, Python/Java, Hadoop, Spark, data warehousing and ETL.
Data Engineer at Telkom Indonesia in Blora, Central Java: design and maintain data infrastructure, build and manage data pipelines, and process large datasets while ensuring data quality. Core stack includes Python, SQL, Hadoop, Spark, Hive, and cloud platforms (AWS/GCP/Azure), working with Agile teams.
Build and scale data pipelines and models for Lyft’s Safety and Customer Care team, enabling real-time insights and AI agent performance tracking using Spark, Python, SQL, and AWS.
Key Responsibilities 1. Model Development & Enhancement o Develop and implement advanced quantitative models for assessing credit risk, including models for PD, LGD, and EAD. o Work with large datasets to develop…
Senior Database Administrator in Dar es Salaam who designs, secures, migrates, tunes and provides 24/7 support for a bank's databases, maintaining dev/test/prod environments and backups. Core tech: Oracle and MS SQL Server, plus cloud platforms, big data tooling, Docker/Kubernetes and DevOps/CI-CD practices.
Senior Data Engineer focused on data quality at Fulcrum Digital: validating and building large-scale data pipelines, performing source-to-target reconciliation, and ensuring reliability of Lakehouse platforms. Core stack is Databricks, PySpark, Hadoop/Hive, advanced SQL, and cloud platforms (Azure, AWS, or GCP).
Build and deploy data-driven models to forecast usage, analyze product behavior, and guide business decisions using Python, SQL, and Spark on Databricks' AI platform.
Senior DevOps engineer building the infrastructure and platform for a bank's MLOps center of expertise (via Usetech): deploying GitLab/GitLab CI, migrating complex pipelines from Jenkins, and configuring ML-serving components (MLflow, Seldon, Airflow, JupyterHub) on bare-metal Kubernetes.
Senior Data Engineer embedded with SOCOM at MacDill AFB, building and maintaining data pipelines, ETL processes, and cloud‑based infrastructure (Azure, GCP, AWS) using SQL/NoSQL, distributed systems tools like Spark and Kafka, and supporting data scientists with optimized data flows.
Наша команда занимается разработкой витрин данных в области управления рисками. Мы команда профессионалов. Мы доверяем друг другу и совместно достигаем намеченных результатов. Мы осваиваем новые технологии и повышаем…
Builds and leads full-stack AI-powered enterprise applications for Twilio’s Customer Support and other business functions, using modern JavaScript/TypeScript and React.
Design and build Twilio’s large-scale data infrastructure, leading architecture decisions for distributed systems, data lakes, and processing frameworks while mentoring engineers.
Lead data science work at Metyis' HUGO BOSS Digital Campus in Porto: manage client relationships, translate business problems into analytics solutions, oversee project delivery, and mentor junior team members, using Python, SQL, Hadoop, and R.
Data analyst (middle/senior) on VTB Bank's retail 'Virtual Assistants' team: builds analytical reports and dashboards, runs A/B tests, evaluates feature impact and segments the customer base using SQL (PostgreSQL, Greenplum, Hadoop), Python (pandas, numpy, scipy, statsmodels) and Airflow. Onsite in Moscow.
Data Engineer at Devoteam, a global tech consulting firm and Google Cloud partner, based in Jakarta, Indonesia. Day to day: designing data architectures, building and maintaining ETL pipelines, data warehouses and lakes, and integrating data sources using Python/SQL, big data tools (Spark, Kafka, Airflow) and cloud platforms, with GCP certifications required within 3 months of joining.
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