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Lead Data Engineer at DFI Retail Group in Petaling Jaya, Malaysia to anchor data architecture strategy and drive data maturity across global retail business. Will oversee data engineering teams, work with cloud platforms, AI/GenAI tools, and manage data as a product.
Hi, Job title:- senior Data Architect Location:- Albany NY- Hybrid Duration:- 24 months “We are looking for a senior Data Architect. The candidate should have 10 years’ experience with Data Lake/Data Analytics/Data…
Позиция открыта у нашего клиента - аналитической платформы для трейдеров. 📍 Локация: Кипр. Вакансия открыта для тех, кто готов самостоятельно переехать и работать в гибридном графике из офиса после релокации. Мы ищем…
Outstaffer.AI is seeking an experienced Azure Data Engineer to join a healthcare client team in the Philippines. You will design scalable data pipelines using Azure Databricks and Spark, implement lakehouse…
We are on the lookout for a skilled Azure Data Engineer to join our dynamic team for a healthcare industry client. This role focuses on building secure, scalable, and compliant data solutions that support healthcare…
Let's Write Africa's Story Together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this. Job Description The Data Engineering Manager will lead the data engineering…
Senior Data Engineer responsible for developing and maintaining a Snowflake-based data platform, building performant data pipelines, and collaborating with stakeholders. Core technologies include Snowflake, SQL, Python, ETL/ELT, and cloud platforms like Azure/AWS.
Senior Azure Databricks Engineer designing and optimizing scalable data platforms, owning end-to-end data pipelines and data lake architectures, leading ETL/ELT development, optimizing Spark workloads, and mentoring junior engineers using Azure Databricks and Spark.
PERSOL SINGAPORE PTE. LTD. is seeking a data engineering professional to migrate Talend ETL jobs to Spark-based pipelines, design scalable data lake solutions, and deliver Databricks/Informatica IDMC projects. You will…
Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact. As a Senior Lead…
Responsibilities Analyze existing Talend ETL jobs and design equivalent Spark-based pipelines . Migrate and optimize data workflows from Talend to Spark (PySpark/Scala). Collaborate with data architects to define…
IT Labs is seeking an experienced Data Architect to join a project for a large, global consulting organization. This is a hands-on role focused on supporting and modernizing a large, complex internal financial data and…
Lead a team to design and implement modern data architectures and pipelines for clients, using distributed systems and big data tools to solve business problems.
Senior Data Engineer working on a modern cloud-based data platform using AWS, Terraform, Snowflake, Airflow, and DBT. Responsible for delivering data solutions from requirements to production using agile frameworks, writing code and tests, and contributing to CI/CD practices.
Senior Data Engineer designing, developing, and operating modern cloud-based data platforms using Snowflake, dbt, AWS, and Azure. Responsible for DataOps and MLOps delivery, technical leadership, and mentoring while working on scalable, secure data solutions.
Data Engineer building ETL/ELT pipelines, data models, and cloud data platforms (Snowflake, Databricks, Azure/GCP/AWS) for ATOM's insurance operating system, using Python and SQL.
A Senior Data Quality Engineer ensures data integrity across ingestion, transformation, and BI outputs by designing automated tests with dbt, SQL, Python, and Power BI, then integrating them into CI/CD pipelines to support product releases.
Builds and maintains cloud data pipelines and optimizes Spark-based ETL workflows for an ad-tech platform, ensuring data quality and reliability.
Designs and builds data pipelines, databases, and backend services using Python, MSSQL, Airflow, PySpark, and Kubernetes to power retail analytics for FMCG clients.
Build and enforce data governance policies, standards, and processes to ensure data quality, security, and regulatory compliance in a large organization.
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