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Keasis

Keasis

www.keasis.com

3 Jobs

56 Employees

About the Company

About Keasis: Founded in 2021 and headquartered in New Jersey, Keasis INC is leading enlistment services provider focused on creating workforce management & recruitment solutions that work in the real world. One of the leading firms in US, Canada, Mexico & India. we offer the whole gamut of workforce solutions including contingent staffing, contractual, contract to hire, full-time hiring, payroll, and SOW services. Redefining staffing by delivering unparalleled service, fostering connections, and igniting opportunities for both job seekers and employers. We are continuously pushing the boundaries as our expert recruiters tap into their in-depth knowledge of job markets and the latest recruitment techniques to find the best opportunities for talent across 100+ skillsets including IT, engineering, finance & accounting, Sales and more. Keasis, a recognized Great Place to Work is the first choice of professionals across for expediting their career progression. Our Vision: Driven by our commitment to integrity, transparency, and professionalism, we strive to be the trusted partner of choice for both clients and candidates alike. We aim to create a collaborative ecosystem where success is measured not only by placements made but by the lasting impact we have on the lives and businesses we touch.

Listed Jobs

Company background Company brand
Company Name
Keasis
Job Title
Data Modeler
Job Description
Job Title: Data Modeler Role Summary: Data warehouse consultant responsible for analyzing client requirements, designing and implementing DWH solutions, delivering best‑practice guidance, training, and process improvement. Expactations: Provide high‑quality consultancy services, deliver DWH designs that meet business objectives, maintain project timelines, communicate with stakeholders, and continuously enhance client data environments. Key Responsibilities: • Engage clients to gather data warehousing requirements and objectives. • Design and implement DWH solutions (Oracle, SQL Server, Teradata, cloud variants). • Advise on data management and analytics best practices. • Collaborate with cross‑functional teams for project delivery. • Conduct training sessions and workshops on DWH tools and methodologies. • Monitor project progress and provide regular stakeholder updates. • Identify opportunities for process improvements and optimization. Required Skills: • 7–10 years of DWH consultancy experience. • Extensive knowledge of DWH databases (Oracle, SQL Server, Teradata). • Proficiency in data modeling and ETL processes. • Strong analytical and problem‑solving abilities. • Excellent communication and interpersonal skills. Preferred Skills: • Experience with cloud DWH solutions (AWS Redshift, Google BigQuery). • Familiarity with data visualization tools (Tableau, Power BI). • Knowledge of Python or R. Required Education & Certifications: • Bachelor’s degree in Computer Science, Information Technology, or related field. • Certifications in DWH technologies or project management (e.g., PMP) preferred.
Toronto, Canada
On site
Senior
08-01-2026
Company background Company brand
Company Name
Keasis
Job Title
Python Developer
Job Description
**Job title**: Python Developer **Role summary** Develop, integrate, and maintain data pipeline and micro‑service components for core banking or fintech solutions using Python, Kafka, and cloud‑native technologies. Collaborate with stakeholders to deliver scalable, secure, and compliant services within Agile and hybrid environments. **Expectations** - 3–7 years of professional experience in banking, fintech, or related domains. - Strong proficiency in Python (or Golang) with proven records on production systems. - In‑depth knowledge of Kafka, cloud platforms (Azure), Docker, and container orchestration (Kubernetes or Azure AKS). - Experience designing and implementing micro‑service architectures and API integrations. - Ability to work across Agile, Waterfall, and hybrid processes while managing competing priorities. - Excellent written and verbal communication for stakeholder interaction. - Background in smart‑contract or workflow orchestration tools preferred. - Solid understanding of core banking concepts, ledger & payment workflows, and regulatory constraints. **Key responsibilities** - Design and implement Python-based Kafka consumers, producers, and micro‑service APIs. - Build and maintain data pipelines on Azure (Data Lake, Data Factory, Databricks, or Azure Synapse) and Cloudera ecosystems (HDFS, Hive, Spark). - Deploy and orchestrate containerized services using Docker and Kubernetes/AKS. - Integrate with external and internal banking APIs, ensuring security, scalability, and compliance. - Apply Vault or equivalent secrets management for secure key and credential handling. - Collaborate with DevOps to create CI/CD pipelines and automate deployments. - Participate in code reviews, design discussions, and architectural decisions. - Diagnose, troubleshoot, and resolve production incidents, providing post‑mortem analysis. - Document designs, API contracts, and operational runbooks. **Required skills** - Programming: Python 3.x (or Golang) – advanced level. - Distributed systems: Kafka, Kafka Streams, or ksqlDB. - Cloud & platform: Microsoft Azure (functions, storage, AKS, HDInsight), Docker, Kubernetes, or Azure Kubernetes Service. - Data & analytics: Spark, Hive, HDFS, Data Lake, Azure Synapse Analytics. - API development: REST/GraphQL, OpenAPI/Swagger. - Secrets management: HashiCorp Vault or Azure Key Vault. - DevOps & automation: CI/CD (Jenkins, Azure DevOps, GitHub Actions), infrastructure as code (ARM, Bicep, Terraform). - Version control: Git. - Testing: unit, integration, and performance testing in distributed environments. - Architecture: micro‑service design, event‑driven patterns, security best practices. - Communication: bilingual proficiency in English and a second language is a plus. **Required education & certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field; or equivalent work experience. - Valid Azure certifications (e.g., AZ-204, AZ-303/304) recommended. - Kafka or distributed systems certification preferred but not mandatory.
Toronto, Canada
Hybrid
Junior
08-01-2026
Company background Company brand
Company Name
Keasis
Job Title
Business System Analyst (Data)
Job Description
Job Title: Business System Analyst (Data) Role Summary Analyze and optimize data ingestion, mapping, and validation processes to transition legacy systems to a strategic Azure platform. Ensure data quality, efficiency, and multi‑point usability while leveraging SQL Server, PySpark, Azure Databricks, and collaborative tools. Expectations - Deliver accurate, complete data pipelines for cloud deployment. - Resolve source‑system discrepancies and improve future data handling processes. - Collaborate with stakeholders to align data strategy with business objectives. Key Responsibilities - Analyze current data ingestion workflows and validate outputs. - Map legacy data structures to modern Azure architecture; identify and correct inaccuracies. - Optimize data pipelines for performance and reuse across multiple applications. - Perform data completeness and accuracy checks prior to cloud migration. - Use SQL Server for legacy queries and PySpark for new processing logic. - Manage and document processes in Confluence. - Develop and maintain solutions on Azure Databricks. Required Skills - Strong data mapping and transformation expertise. - Proficiency in SQL Server and PySpark programming. - Experience with Azure Databricks and Azure cloud services. - Familiarity with data quality, completeness, and validation techniques. - Competence in using Confluence for documentation and collaboration. - Analytical problem‑solving and debugging skills. - Ability to translate business requirements into technical specifications. Required Education & Certifications - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. - Professional certifications preferred: Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer, or equivalent.
Toronto, Canada
Hybrid
12-01-2026