Data Solutions Architect

2 weeks ago

bareilly, India beBeeData Full time

Job Title: Data EngineerWe are seeking an experienced Data Engineer to join our MarTech team and play a pivotal role in driving innovation within our microservices architecture, with a strong emphasis on data engineering and back-end systems.Key Responsibilities:Lead the design, development, and deployment of data engineering solutions and back-end services within a microservices environment.Architect and implement scalable data pipelines for ingestion, processing, and storage of data from various sources, ensuring data quality and reliability.Design, code, configure, test, debug, deploy, document, and maintain both data pipelines and back-end web service applications using a variety of software development toolkits, testing/verification applications and other tools.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 the business needs, ensuring seamless integration within the existing microservices environment.Required Skills and Qualifications:Technical Requirements:Experience with Git, CI/CD, Jenkins, ArgoCD.Strong understanding of Scala/Java, SQL/SparkSQL, Python.Familiarity with Apache Spark, Databricks, Apache Storm.Knowledge of Cosmos DB, Redis Cache and Redis Insight Tool.Proficiency in Maven, Gradle Build Tools.Experience with Kafka Ecosystem, Kafka Streams library, Kafka Avro Schemas.Understanding of Restful API Design Patterns, Swagger Documentation.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.Preferred Qualifications: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.Experience with Node.js.Familiarity with Rust is a plus.

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