Iris Software Inc. is looking for an ETL-Python Tester with at least 5 years of testing experience. The ideal candidate should possess a strong background in ETL testing using Python and SQL/Database testing, as well as experience in API testing. This role offers a hybrid work setup with three days of in-office presence in Toronto, ON.
Signature IT World Inc is looking for an Integration Engineer. The major responsibilities include monitoring and troubleshooting ETL jobs, developing ETL processes using SSIS, Python, and SQL, and ensuring data quality and integrity. The ideal candidate will have a strong focus on ETL, SQL, SSIS, Tidal, and Airflow.
DSG is looking for a Data Engineer who will make a difference by smartly organizing our data and translating it into insights that drive our projects forward. As a Data Engineer at DSG, you will design, develop, and manage data platforms and architectures essential for our sustainable energy systems such as solar energy systems and energy storage systems. Your responsibilities include developing and managing data pipelines, setting up data models, ensuring API integrations, and providing data availability for analysis and visualization.
Ampstek is looking for a Data Engineer proficient in Data Engineering with hands-on experience in Python, Azure Data Factory, Azure Databricks (PySpark) and ETL. The ideal candidate will demonstrate knowledge of Data Lake storage (storage container) and MSSQL. We value quick learners who are enthusiastic and willing to work on new technologies depending on requirement. Responsibilities also include configuring and deploying using Azure DevOps pipelines.
Tata Consultancy Services (TCS) is looking for a Database Developer/DBA to conduct thorough assessments of existing DB2 databases and develop comprehensive migration plans to PostgreSQL in GCP. The role involves collaborating with stakeholders, optimizing databases post-migration, and providing training and support to teams. Candidates should have experience with database migration strategies and ETL processes, as well as troubleshooting and documentation skills.
Stedin is looking for a Data Engineer. In this role, you will translate information needs into successful data solutions, working on a data platform mainly based on Databricks, using ETL technologies from Informatica. You will help develop and position BI and data services to derive added value from data for business departments.
UnitedHealth Group is looking for a Data Engineer - Data Integration. The role involves working closely with subject matter experts to understand data requirements, designing and developing processes for data exchange, optimizing workflows, and utilizing security best practices. Required qualifications include a Bachelor's Degree or extensive experience as a Data Integration Engineer, hands-on experience with API development, knowledge of database concepts, and experience with data processing and SQL databases, particularly in cloud environments. Preferred qualifications include experience with Spark, Docker, Kubernetes, and knowledge of DevOps tools.
Iris Software Inc. is looking for a Database Testing (Python) professional to collaborate with a Fortune 100 client. The ideal candidate should possess skills in SQL and ETL, alongside Python expertise. Responsibilities include advanced data analysis and test automation, with experience in tools like ReadyAPI and UFT being advantageous. Candidates should ideally have knowledge of banking data, including Finance/Risk or General Ledger data, and accounting knowledge would be a plus.
Boosted is looking for a Senior Data Engineer to design, build, and maintain data systems. This role involves creating scalable data pipelines, architecting cloud data solutions, and collaborating with various stakeholders. The ideal candidate will have experience in data engineering and knowledge of big data technologies.
EPAM Systems is looking for a Databricks Engineer to advance our client's Data-Driven Company initiative within the insurance sector. This role involves designing and building robust data architecture to support various aspects of the client's business while leveraging expertise in cloud infrastructure, big data processing, data integration, and analytics, particularly with Azure. The successful candidate will design, develop, and maintain scalable data pipelines and architectures and collaborate with Machine Learning engineers to integrate AI-driven insights and recommendations.