We are seeking a skilled MuleSoft Developer to join our dynamic team. The ideal candidate will have 3 to 5 years of experience in MuleSoft development, along with a strong background in CI/CD and GitHub. As a MuleSoft Developer, you will be responsible for designing, developing, and maintaining integration solutions using MuleSoft. You will work closely with cross-functional teams to ensure seamless integration and delivery of high-quality solutions. Key Responsibilities: • Design, develop, and maintain integration solutions using MuleSoft. • Collaborate with cross-functional teams to gather requirements and deliver integration solutions. • Implement CI/CD pipelines for MuleSoft projects using GitHub and other relevant tools. • Troubleshoot and resolve integration issues in a timely manner. • Ensure the security and scalability of integration solutions. • Stay updated with the latest MuleSoft features and best practices. Required Skills and Qualifications: • 5 to 7 years of experience in MuleSoft development. • Strong knowledge of MuleSoft AnyPoint Platform, including API Manager, Design Center, and Runtime Manager. • Experience with CI/CD pipelines and tools such as GitHub, Jenkins, and Docker. • Proficiency in designing and developing RESTful APIs and SOAP web services. • Strong understanding of integration patterns and best practices. • Excellent problem-solving and troubleshooting skills. • Strong communication and collaboration skills. • Experience in API testing • Knowledge in Splunk would be good Preferred Qualifications: • MuleSoft Certified Developer certification. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Knowledge of other integration tools and technologies. • Experience with Agile/Scrum methodologies. Education: • Bachelor's degree in Computer Science, Information Technology, or any related field.
Role Overview : Seasoned Databricks Senior Platform Engineer who can implement scalable, end-to-end data solutions on Databricks over AWS. This role is pivotal in building the foundational infrastructure for data products, ensuring data quality, and enabling machine learning capabilities Key Responsibilities : - Design and implement end-to-end ETL pipelines in Databricks, sourcing data from Amazon S3 and Amazon RDS and other sources. - Design and deploy Databricks workspaces and clusters optimized for performance, scalability, and cost-efficiency. - Set up data quality frameworks and anomaly detection mechanisms to ensure reliability and trust in data products. - Enable machine learning capabilities within Databricks by configuring necessary services, libraries, and integrations. - Collaborate with data scientists, engineers, and DevOps teams to ensure seamless platform operations. - Automate deployment and monitoring using CI/CD pipelines, GitHub - Document architecture, workflows, and operational procedures for platform governance. Requirements : Core Platform & Cloud : - 5+ years of experience in platform engineering roles - Strong expertise in Databricks on AWS - Proficient with Amazon S3, Amazon RDS, and IAM roles/policies - Experience with Delta Lake, Structured Streaming, and Databricks Workflows ETL & Data Quality : - Hands-on experience building ETL pipelines using Spark - Familiarity with data validation, profiling, and anomaly detection frameworks - Knowledge of tools like Great Expectations or custom validation scripts ML Platform Enablement : - Experience setting up ML infrastructure including : - MLflow for experiment tracking and model registry - Feature Store for reusable feature pipelines - Databricks Runtime for ML - Integration with AWS SageMaker or custom ML libraries - Understanding of model lifecycle management, though model development is out of scope DevOps & Automation : - Proficiency with GitHub, CI/CD pipelines, and Terraform or CloudFormation Preferred Qualifications : - Experience working with healthcare data - Exposure to data mesh or data product architecture principles
Responsibilities Coordinate with Hiring Managers to identify staffing needs. Source potential candidates through online channels (e.g. social platforms, Databases, and professional networks) Plan interview and selection procedures, including screening calls, assessments and in-person interviews Assess candidate information, including resumes and contact details, using our Applicant Tracking System Define job descriptions and interview questions that reflect each positions requirements. Organize and attend job fairs and recruitment events as required Forecast quarterly and annual hiring needs by department Foster long-term relationships with past applicants and potential candidates Develop and maintain clear documentation and reports on hiring process which are shared periodically with the Hiring Managers Qualifications: Bachelor’s /Master’s in Human Resources, Business Administration, or a related field 2-5 years of experience in Talent or related roles within a startup environment is an add on Familiarity with social media, resume databases and professional databases Preferable experience in hiring for Analytics positions Hands-on experience with full recruitment cycle using various interview techniques and evaluation methods. Knowledge of Applicant Tracking Systems (ATSs) Excellent verbal and written communication skills Proficiency in MS Office tools such as Excel and PowerPoint Excellent communication and interpersonal skills to engage with employees and stakeholders
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