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Builds and maintains data warehouse solutions, ETL pipelines, and data models for Telkom Indonesia at its Ciamis, West Java site, turning data into business insights. Core stack: Python, SQL, Hadoop, and Spark, plus data mining and visualization.
Data Engineer at state-owned telecom PT Telkom Indonesia, based in Semarang. Day to day: designing, building, and maintaining data engineering systems, analyzing data for insights, and ensuring data quality and security using SQL, Python, and big data tools like Hadoop, Spark, and Hive.
Data Engineer at PT Telkom Indonesia in Klaten, Central Java, who designs and builds data warehouses, develops and maintains data pipelines, and analyzes data to support business decisions. Core technologies include Python/Java, SQL, Hadoop, Spark, and cloud platforms (AWS, Azure, GCP).
Data Engineer at PT Telkom Indonesia in Kupang, Indonesia: design, build, and maintain data systems, process and analyze data, and ensure data quality, security, and privacy. Core stack includes SQL/NoSQL databases, big data tools (Hadoop, Spark, Hive), and programming in Python, Java, or Scala.
Data Engineer at Telkom Indonesia's Jayapura office who designs, builds, and maintains data engineering systems, processes big data, builds reliable data pipelines, and creates reports and visualizations. Core stack includes Python, SQL, Spark, Hadoop, Kafka, and cloud platforms (AWS/GCP/Azure).
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 maintain high-volume data pipelines for global financial crime and risk clients using Quantexa’s platform, Spark, and cloud infrastructure.
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.
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense…
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