Immediate Hiring! Verification Engineer - Bangalore Experience - 3 to 5 years Immediate joiners Experience in understanding business needs to develop right tests cases that ensures overall test coverage for a user story. Strong domain knowledge in: Environmental Data Process understanding Data Architecture/Design Supplier Management & Change Management Hands-on experience with: Functional Verification Product Lifecycle Management Familiarity with tools and technologies: Advanced Excel (Power Query) (Good to have) Jira & Xray Defect tracking and reporting tools Selenium Java + Selenium for test script execution Strong communication skills to work with Product Owners (POs) & Business Analysts (BAs) Ability to review test cases and discuss user story specifications Understanding of Agile methodology and software lifecycle If interested please share your updated resume to dhina@datatechgenius.com Job Type: Contractual / Temporary Schedule: Monday to Friday Work Location: In person
Company Description Datatech Genius, located in the economic hub of Puducherry India, develops apps for innovators worldwide. Our apps are celebrated for their intuitive navigation and extensive utility. Every day, we strive to understand and address the reasons why users choose to download and keep our apps. Our team is a diverse community of talent and passion, ranging from designers and developers to writers and sports enthusiasts. Role Description This is a full-time on-site role for a Human Resources Manager, located in Puducherry, India. The Human Resources Manager will be responsible for overseeing daily HR activities including recruitment, employee relations, performance management, and compliance with labor laws. Additional responsibilities include developing HR policies, handling employee grievances, and ensuring a safe and productive work environment. The HR Manager will also implement and oversee employee training programs and contribute to organizational development strategies. Qualifications Proficiency in Computer Science and related fields Excellent organizational and communication skills Ability to work efficiently on-site Proven experience in Human Resources management Bachelor's degree in Human Resources, Business Administration, Computer Science, or a related field
JD - Data Engineer (Healthcare) Key Responsibilities: • Design, develop, and optimize scalable data pipelines using Azure Data Factory, Databricks, and Kafka. • Architect and implement robust data warehousing solutions using Snowflake and other cloud-native technologies. • Collaborate with business stakeholders and advisory consultants to understand data requirements and translate them into technical solutions. • Ensure data quality, integrity, and security across all data platforms. • Perform advanced data transformations, cleansing, and enrichment to support analytics and reporting needs. • Monitor and troubleshoot data pipeline performance and reliability. • Document technical designs, processes, and best practices. • Design and implement healthcare-specific data models including payer modules. • Collaborate with domain experts to develop logical, and physical data models. • Utilize data modeling tools to create and maintain healthcare data models aligned with business requirements. Required Qualifications: • 7+ years of hands-on experience in data engineering and cloud platforms. • Strong expertise in Azure Data Factory (ADF), Databricks (PySpark, Delta Lake), Apache Kafka, Snowflake. • Proven experience in data warehousing, ETL/ELT design, and data modeling. • Solid understanding of cloud architecture, data governance, and security best practices. • Experience working in consulting environments with direct client interaction. • Strong experience in healthcare data modeling, especially in payer modules. • Proficiency in data modeling tools such as ER/Studio, Erwin Data Modeler, or similar. • Demonstrated expertise in conceptual, logical, and physical data modeling practices. Preferred Qualifications: • Experience with CI/CD pipelines and DevOps practices in data engineering. • Knowledge of healthcare data and regulatory compliance (HIPAA, PHI) is a plus. • Certifications in Azure, Databricks, or Snowflake are highly desirable. 📄 BGV Mandatory