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KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and…
Junior Data Engineer on MTS Web Services' B2B Scoring product (Big Data): builds and maintains ETL/ELT pipelines, writes and optimizes SQL, prepares data for analytics and ML, and automates routine tasks with Python. Core stack is Python, SQL and big data (HDFS, Spark); PySpark, Airflow, Kafka and ClickHouse are pluses.
Data Engineer who designs, builds, and maintains data pipelines and ETL/ELT workflows on AWS, writing SQL and Python to extract, transform, and validate data across systems. Core stack includes AWS S3, Redshift, Glue, IAM, and CloudWatch, with a focus on data quality, security, and troubleshooting.
Big Data Engineer at HCLTech (Bangalore/Chennai) building and optimizing large-scale data pipelines and ETL/ELT workflows using Python, PySpark, SQL, Apache Airflow, Kubernetes, S3-compatible object storage, and table formats like Iceberg/Delta Lake/Hudi. Targets candidates with 6-10 years of experience in Agile teams.
A data engineer role in Bengaluru focused on building data models in Microsoft Fabric using medallion architecture, with day-to-day work in PySpark and Python and responsibility for understanding existing Alteryx flows. Databricks, Alteryx, and Power BI are preferred.
Lead the technical direction of a Microsoft Fabric‑based data platform, overseeing architecture, governance and a team of data engineers while building scalable cloud data pipelines using Azure services, SQL, Python and PySpark, and preparing the platform for AI workloads.
Overview Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success.…
Data engineer at Alfa-Bank building and maintaining ETL/ELT pipelines and analytical data marts for SME credit-risk reporting, integrating sources from DWH, operational databases, files and APIs. Core stack: SQL, Python, Spark, Airflow-class orchestration, analytical DBMS (Greenplum/ClickHouse/etc.) and Power BI/Tableau dashboards.
합류하게 될 팀에 대해 알려드려요 토스뱅크의 Data Analytics Engineer 는 Data Division 내의 Data Warehouse 팀에 소속되어 있어요. 여러팀의(스쿼드, 사일로) Data 전문가(DA, DE, ML)들과 협업하며 데이터를 활용한 의사결정과 가치를 만들어 나가요. 또한 Data Catalog 시스템, Tableau 연동 업무와 같은 전사의 데이터 관련…
Lead engineer at Optum (UnitedHealth Group) in Ireland building analytics platforms and AI-powered applications. Day to day: transforming health data workflows, designing scalable Python/PySpark pipelines, contributing to architecture discussions, and supporting CI/CD and production operations in a hybrid setup.
Senior data engineer designing, building, and optimizing scalable data pipelines and data products on Databricks and PySpark. Shapes enterprise DW/Lakehouse solutions for analytics and AI/ML use cases, with a focus on Unity Catalog governance, dimensional modeling, ETL/ELT design, and data quality, security, and performance.
Senior Data Engineer role at Esync Software Services in Kuala Lumpur: design and deliver scalable data pipelines and data products on Databricks, PySpark, Delta Lake, and Unity Catalog, while optimizing performance, implementing GitHub Actions CI/CD, and ensuring data security and governance across cloud deployments.
Senior data engineer at Mercedes-Benz Tech Malaysia designing and maintaining scalable data pipelines and analytics platforms on Azure using Databricks, Data Factory, Data Lake Storage and Power BI, with CI/CD via Azure DevOps and GitHub. Hybrid role based at the Puchong, Malaysia office.
Senior data engineer (5-8 yrs) designing, building, and optimizing Databricks-based data pipelines, lakehouse, and enterprise data warehouse platforms using PySpark, Delta Lake, and Unity Catalog governance. Also drives CI/CD with GitHub Actions, performance tuning, stakeholder work, and rotating production support, on-site in Kuala Lumpur.
Senior Data Engineer migrating existing BI solutions from SQL Server and SSAS to Microsoft Fabric, then developing and supporting them. Day-to-day work spans Fabric Lakehouses, Warehouses, Pipelines and Notebooks (SparkSQL), T-SQL, DAX/semantic models, PySpark, and Azure DevOps, building a Medallion (Bronze-Silver-Gold-Platinum) architecture.
Senior Data Engineer building and maintaining scalable data pipelines, ETL/ELT, and enterprise Data Warehouse/Lakehouse platforms on Databricks. Day-to-day spans PySpark and SQL development, Delta Lake modeling, Unity Catalog governance, performance tuning, CI/CD with GitHub Actions, and production support.
G-Asiapacific is hiring a data engineer (posted as Senior, described as mid-level with 3–5 years' experience) who designs and builds AWS-based data pipelines, warehouses and lakes (Redshift, S3, Glue, Lambda, Athena, EMR/Spark) using SQL and Python/PySpark. The role blends hands-on engineering with customer-facing consulting: running discovery workshops, supporting presales, and carrying solutions
Senior Data Engineer who migrates existing BI solutions from Microsoft SQL Server/SSAS to Microsoft Fabric and then develops and supports them, working autonomously with a core team. Core stack: Fabric Lakehouses, Warehouses, Pipelines and Notebooks, T-SQL, SparkSQL/PySpark, Power BI semantic models with DAX, and Azure DevOps.
Build and scale backend systems and APIs for an AI-driven adtech platform, working with Python, Go, Kafka, and cloud infrastructure to process billions of daily events.
Build and scale ML systems for programmatic ad-bidding optimization, including real-time auctions and yield models, using Python, TensorFlow, and PySpark.
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