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Builds and maintains data pipelines to acquire, clean, transform, and store large datasets while ensuring data quality and governance; collaborates with teams to design data solutions and mentor junior analysts.
Job Information Work Experience 1-3 years Technology SGD 4000 -SGD 4500 City Singapore State/Province Central Singapore 079903 Job Description Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and…
Build and maintain full-stack applications using Java, Go, Python, React, and Angular, while managing cloud infrastructure and automation testing for enterprise-scale projects.
Designs and maintains large-scale data architectures, ETL pipelines, and data warehouses using SQL, NoSQL, Hadoop, and Spark.
Position Summary Scicom Infrastructure Services is seeking an experienced Databricks Practice Lead / Engineering Manager to provide hands-on technical leadership while managing a team of data engineers, architects, and…
Data Engineer designing, building, and maintaining data architectures and ETL pipelines in AWS GovCloud for mission-critical government systems, with a focus on migrating Oracle workloads to cloud databases like Aurora and PostgreSQL.
Data Engineer designing, building, and maintaining data architectures and ETL pipelines in AWS GovCloud for mission-critical government systems, using PostgreSQL, Java, SQL, and AWS RDS with an active Secret clearance.
Hands-on Technical Lead Architect role owning end-to-end architecture for Clinical Supply & Delivery platforms at Lilly, building containerized services, CI/CD pipelines, cloud infrastructure, data pipelines, and agentic AI architecture on AWS.
Senior Data Scientist on the Product Data Analytics team in Gurgaon, building end-to-end data solutions that blend data from Salesforce, SQL Server, AWS, and Databricks into unified, actionable insights using Hadoop/Hive/Impala, Python/Spark, and SQL.
The Data Engineer will design, build, and maintain ETL pipelines and data marts within a banking environment using PySpark and Python. The role involves managing the full SDLC, from development and UAT to production deployment and support, while working with diverse data types.
Data Engineer building ETL pipelines and data marts with PySpark and Python in a banking environment, owning the full SDLC from build through production deployment and support.
The Data Engineering Specialist will build and maintain data infrastructure and pipelines for AI platforms using Snowflake, Databricks, and Python. This role involves optimizing data systems, implementing governance standards, and collaborating with stakeholders to drive data-driven insights.
On-site Software Engineer supporting Special Operations missions in Springfield, VA, building tools in Python, C#, Java, and JavaScript within an agile, multi-disciplinary team.
Work for the IMF. Work for the World. Under the direction of the Section Chief of Economic Data of ITD, the Senior/Economic Data Systems Engineer serves as an individual contributor. The position provides Fund-wide…
AWS Cloud & Platform Engineer designing and maintaining secure cloud infrastructure, CI/CD pipelines, and big data platforms using AWS, Terraform, and data tools—requires active SC clearance with 1 day/month onsite in Leeds.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Data Engineering Architect at Disney Streaming, defining data architecture strategy, cloud migration, and governance platforms using AWS, Snowflake, Redshift, Spark, Kafka, and other distributed data systems.
Manage and operate enterprise big data platforms (Cloudera, Talend, Hadoop ecosystem) ensuring high availability, performance, and security, while driving automation via Terraform, Ansible, and CI/CD pipelines.
Data Engineer role focused on designing and maintaining scalable data platforms, ETL/ELT pipelines, and data warehouses. Core technologies include SQL, Python, Apache Spark, Hadoop, Hive, Informatica/Talend, and PostgreSQL.
Designs, builds, and maintains scalable data pipelines and warehouses to collect, process, and analyze structured/unstructured data in batch and real-time.
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