Building Robust Data Solutions

2 weeks ago


junagadh, India beBeeData Full time

Data Solutions ArchitectDrive innovation in microservices architecture with a strong focus on data engineering and back-end systems.We are seeking an experienced Data Engineer to lead the development, optimization, and maintenance of both data pipelines and back-end services. You will be responsible for building robust data solutions, crafting APIs and services that power customer experiences.Key Responsibilities:Create scalable data pipelines for ingestion, processing, and storage of data from various sources.Design, develop, and deploy data engineering solutions within a microservices environment.Work closely with solution engineers and architects to develop technical design specifications.Validate proposed back-end services and data solutions align with architectural design and business needs.Responsible for troubleshooting and issue analysis across the back-end stack.Implement and maintain data governance and API governance policies and standards.Collaborate with cross-functional teams to define data requirements and deliver data-driven services.Required Skills and Qualifications:Experience with Git, CI/CD, Jenkins, ArgoCD.Knowledge of Scala/Java, SQL/SparkSQL, Python programming languages.Familiarity with Apache Spark, Databricks, Apache Storm technologies.Proficiency in Cosmos DB, Redis, Maven, Gradle Build Tools.Understanding of Kafka Ecosystem, Kafka Streams library, Kafka Avro Schemas.Experience with Grafana, Grafana Loki Logging.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.Benefits:Opportunity to contribute to the evolution of our data and application architecture.Chance to collaborate with cross-functional teams to define data requirements and deliver data-driven services.Professional growth and development opportunities.Others:Prior experience designing and implementing microservices architectures is beneficial.Candidates must have a strong understanding of data modeling, data warehousing, and ETL processes.



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