DataStax/AWS lead

4 weeks ago

British Columbia BC, Canada HCLTech Full time

10+ years experiece required - Proven ability to lead and manage larger teams in different GEO regions. - Should have a clear understanding and working experience in SDLC, CI/CD, Agile & Sprint programs. - Ability to Co-ordination with Application and Platform teams, Hyper-Care support, Performance optimization, Unit Test & Integration test support - Mentor and support other colleagues and L2 team for L3 Technical delivery - Managing services SLAs like availability (proactive monitoring) and incident resolutions as per SLAs - Strong client-facing role at the customer location or remotely. DevOps & Cloud Infrastructure Management Data Visualization & BI Tool Integration Job Summary: We are seeking a skilled Middleware EDH Consultant with expertise in DataStax to design, implement, and manage enterprise data integration and distribution solutions. The ideal candidate will have hands-on experience with DataStax Enterprise (DSE), Apache Cassandra, and middleware technologies to support real-time and batch data flows across complex enterprise systems. Key Responsibilities: • Design and implement Enterprise Data Hub (EDH) solutions using DataStax Enterprise and related technologies. • Develop and maintain middleware components for data ingestion, transformation, and distribution. • Integrate EDH with upstream and downstream systems including ERP, CRM, billing, and analytics platforms. • Optimize data models and queries for performance and scalability in Cassandra-based environments. • Ensure data consistency, reliability, and security across distributed systems. • Monitor and troubleshoot middleware and EDH components to ensure high availability. • Collaborate with data architects, application developers, and infrastructure teams. • Document technical designs, data flows, and operational procedures. Required Skills & Qualifications: • Strong experience with DataStax Enterprise (DSE) and Apache Cassandra. • Proficiency in middleware integration, data pipelines, and real-time data processing. • Experience with Kafka, Spark, REST APIs, and ETL tools. • Solid understanding of distributed systems, NoSQL databases, and data replication strategies. • Familiarity with DevOps tools, CI/CD pipelines, and containerization (Docker/Kubernetes). • Knowledge of data governance, security, and compliance frameworks. • Excellent problem-solving and communication skills.

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