Backend Developer

2 months ago

Kolkata, India Weekday Full time
This role is for one of theWeekdaysclients
Asa Backend Developer focusing on Data Science you will beresponsible for building optimizing and maintaining serversideapplications that support data processing and machine learningmodels. You will collaborate closely with data scientists dataengineers and other developers to create efficient data pipelinesscalable APIs and robust backend services that power datadrivenapplications.
KeyResponsibilities:
  • BackendDevelopment: Design develop and maintain scalablebackend systems services and APIs that handle large datasets andmachine learning models.
  • DataPipeline Integration: Collaborate with datascientists to integrate machine learning models and process largevolumes of structured and unstructured dataefficiently.
  • APIDevelopment: Develop RESTful APIs to expose datascience models and datadriven services to internal and externalapplications.
  • DatabaseManagement: Design and optimize database structuresfor storing and querying large datasets ensuring high performanceandscalability.
  • Collaboration:Work closely with data engineers data scientists and frontenddevelopers to deliver endtoend datasolutions.
  • PerformanceTuning: Identify bottlenecks and implement solutionsfor high performance and lowlatency in data processingsystems.
  • Security:Implement security best practices to protect sensitive data andensure compliance with relevantregulations.

RequiredSkills andQualifications:
  • ProgrammingLanguages: Proficiency in languages such as PythonJava or Node.js.
  • Data ScienceIntegration: Familiarity with integrating datascience libraries such as TensorFlow Scikitlearn orPyTorch.
  • APIDevelopment: Experience with building and consumingRESTful APIs and microservicesarchitecture.
  • DatabaseManagement: Strong knowledge of SQL and NoSQLdatabases (e.g. PostgreSQLMongoDB).
  • Data PipelineTools: Experience with data processing tools andframeworks like Apache Kafka Spark orHadoop.
  • CloudPlatforms: Experience with cloud environments likeAWS GCP or Azure for deploying datacentricapplications.
  • VersionControl: Proficiency with version control systemslikeGit.

PreferredSkills:
  • Familiaritywith containerization (Docker) and orchestration(Kubernetes).
  • Experience with data streamingtools such as Apache Flink or Storm.
  • Strongunderstanding of machine learning lifecycle and modeldeployment.
  • Familiarity with data governanceprivacy laws and data security bestpractices.

datagovernance,aws,data science,mongodb,apache flink,storm,gcp,nosqldatabases,node.js,data security,azure,pytorch,spark,sql,machinelearning lifecycle,machine learning,scikit-learn,python,restfulapis,docker,java,models,kubernetes,tensorflow,hadoop,postgresql,git,apachekafka

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