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The Senior Software Engineer will design and maintain scalable data-driven systems and APIs using Java/Scala, SQL, Spark, Airflow, and Kubernetes. The role involves bridging software and data engineering to support finance, analytics, and AI-powered initiatives in a hybrid work environment.
4-month contract Data Engineer working in an Azure/Databricks environment to support a sales data project, using Python and SQL to map products and analyze subscription growth.
The Senior Specialist, Full-Stack Engineer will develop scalable, AI-enabled data solutions for the Finance Hub team at BNY Mellon. The role involves the full software development lifecycle, including ETL design, data modeling, and regulatory reporting using technologies like Python, PySpark, and Oracle.
The Data Platform Engineer will maintain and develop the company's data warehouse, focusing on data modeling, quality assurance, and workflow orchestration. The role utilizes Snowflake, dbt, Airflow, and Sigma to provide actionable datasets for internal teams.
Senior Data Engineer/Platform Architect deployed project-based to client organizations, building data solutions with SQL, Python, and ETL tools (Data Factory, dbt, Airflow) in a Microsoft/Git CI/CD environment.
Design and optimize large-scale data platforms and build data processing pipelines using Spark, Hadoop, and Kafka for an in-house digital technology division.
Senior Data Engineer owning ETL/ELT pipelines, data warehouse design, and streaming data systems for Carousell Group's recommerce marketplace (Mudah.my), using SQL, Python, Apache Airflow, and cloud data warehouse technologies.
Design and own data structures and ETL pipelines for a graph-RAG platform, modeling knowledge domains and ingesting content at scale from enterprise sources like SharePoint using Python, Neo4j, Postgres/Supabase, and Airflow.
Senior Data Test Engineer validating analytics and data pipelines end-to-end for Pluto TV's streaming platform, using SQL, Java/Spring-based automation, BigQuery, and AI-assisted tools.
Привет! Мы — онлайн-школа Тетрика , являемся одной из крупнейших EdTech-компаний России в сегменте школьного образования. За 7 лет мы помогли уже тысячам школьников найти своего репетитора и провели более 2 млн занятий…
The Lead Data Engineer will design and maintain a cloud-based Finance Data Platform, managing data pipelines, ETL frameworks, and governance for financial datasets. The role involves collaborating with cross-functional teams to support advanced analytics using technologies like Python, SQL, Databricks, and cloud infrastructure.
The Senior Software Engineer in Data will collaborate with international and local teams to build mission-critical data products. The role involves working with cloud data platforms, ETL pipelines, and machine learning technologies to solve complex technical challenges.
Senior Data Engineer building batch, real-time, and event-driven ETL pipelines on AWS using Flink, Airflow, Spark, Kafka, and Trino for Grab's Lending Data Engineering team in Jakarta.
Senior Data Engineer focused on data quality, governance, and data warehouse architecture to support BI and reporting. Day to day involves automating workflows with Airflow and collaborating with analysts and cross-functional teams in Jakarta.
The Analytics Engineer will design and maintain dbt models on BigQuery to transform raw data into trusted datasets for analytics and ML. This role involves ensuring data quality, collaborating with stakeholders, and optimizing data pipelines within a fintech environment.
The Cloud Data Engineer will design and manage cloud-based data solutions for banking clients using Google Cloud Platform. The role focuses on building and orchestrating data pipelines using Python, SQL, Apache Airflow, and BigQuery.
The Cloud Data Engineer will design and manage cloud-based data solutions for the banking sector using GCP, BigQuery, and Airflow. The role involves developing ETL/ELT pipelines and optimizing SQL queries to ensure reliable data architecture.
The Staff Data Engineer will lead the design and scaling of data infrastructure, overseeing complex ETL pipelines and mentoring engineering teams. The role requires deep expertise in Python, distributed systems like Kafka and Airflow, and cloud data warehouses such as BigQuery.
Senior Data Engineer on Grab's Lending Data Engineering team, designing and managing scalable batch, real-time, and event-driven ETL pipelines on AWS (Glue, Redshift, Athena, S3, EMR, Kinesis, MSK) using Flink, Airflow, Spark, Kafka, and Trino—onsite in Jakarta.
Data Engineer designing and building ETL/ELT pipelines and a corporate data warehouse, extracting and consolidating data from SAP ECC6 (HANA 2) and Epicor Kinetic (SQL Server 2019) for BI reporting.
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