Expert Data Solutions Specialist

2 weeks ago

nadiad, India beBeeData Full time

Job Title:Senior Data Solutions ArchitectOverviewWe are seeking a highly experienced Senior Data Solutions Architect to join our team and play a pivotal role in driving innovation within our microservices architecture. This individual will be responsible for leading the development, optimization, and maintenance of both data pipelines and back-end services, ensuring seamless integration within a microservices environment.ResponsibilitiesDesign, develop, and deploy scalable data engineering solutions and back-end services within a microservices environment.Architect and implement robust data pipelines for ingestion, processing, and storage of data from various sources, ensuring data quality and reliability.Collaborate with cross-functional teams to define data requirements, design APIs, and deliver data-driven services.Work closely with solution engineers and architects to develop technical design specifications from which programs will be written or configured, with a strong focus on microservices integration for both data and application components.Validate that proposed back-end services and data solutions align with both the architectural design and business needs, ensuring seamless integration within the existing microservices environment.RequirementsStrong understanding of microservices principles, data engineering best practices, back-end development, and experience with building scalable solutions.Experience with technologies such as Git, CI/CD, Jenkins, ArgoCD, Scala/Java, SQL/SparkSQL, Python, Apache Spark, Databricks, Apache Storm, Cosmos DB, Redis, Kafka Ecosystem, Kafka Streams library, Kafka Avro Schemas, Grafana, Grafana Loki Logging, Restful API Design Patterns, Swagger Documentation, and Experience with markup languages such as JSON and YAML.Proven experience designing and implementing microservices architectures.Strong understanding of data modeling, data warehousing, and ETL processes.Experience with containerization technologies such as Docker and Kubernetes.Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data engineering and back-end services.What We OfferA dynamic and collaborative work environment.Opportunities for career growth and professional development.Competitive salary and benefits package.

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