Padmi

1. Senior Backend Engineer (Data Pipelines & APIs)

HyderabadPosted 2 months ago
Software engineeringSeniorFull Time; Regular
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Senior Backend Engineer (Data Pipelines & APIs) Role Overview We are seeking a Senior Backend Engineer to design, build, and maintain scalable data pipelines and APIs that power our AI platforms. You will work with cutting-edge technologies to transform complex data into actionable insights. What Youll Do Design and implement scalable data pipelines for processing large-scale datasetsDevelop robust RESTful APIs and microservices architectureOptimize database queries and data processing workflowsCollaborate with AI/ML teams to integrate models into production systemsEnsure system reliability, performance, and security Must Have Skills 5+ years of backend development experienceProficiency in Python, Java, or GoExperience with data pipeline tools (Apache Airflow, Kafka, Spark)Strong knowledge of database systems (PostgreSQL, MongoDB)Experience with cloud platforms (AWS, Azure, GCP) Nice-to-Have Experience with ML/AI model deploymentKnowledge of containerization (Docker, Kubernetes)Understanding of data engineering best practices APPLY NOW Senior Backend Engineer (Data Pipelines & APIs) Role Overview We are seeking a Senior Backend Engineer to design, build, and maintain scalable data pipelines and APIs that power our AI platforms. You will work with cutting-edge technologies to transform complex data into actionable insights. What Youll Do Design and implement scalable data pipelines for processing large-scale datasetsDevelop robust RESTful APIs and microservices architectureOptimize database queries and data processing workflowsCollaborate with AI/ML teams to integrate models into production systemsEnsure system reliability, performance, and security Must Have Skills 5+ years of backend development experienceProficiency in Python, Java, or GoExperience with data pipeline tools (Apache Airflow, Kafka, Spark)Strong knowledge of database systems (PostgreSQL, MongoDB)Experience with cloud platforms (AWS, Azure, GCP) Nice-to-Have Experience with ML/AI model deploymentKnowledge of containerization (Docker, Kubernetes)Understanding of data engineering best practices APPLY NOW Senior Backend Engineer (Data Pipelines & APIs) Role Overview We are seeking a Senior Backend Engineer to design, build, and maintain scalable data pipelines and APIs that power our AI platforms. You will work with cutting-edge technologies to transform complex data into actionable insights. What Youll Do Design and implement scalable data pipelines for processing large-scale datasetsDevelop robust RESTful APIs and microservices architectureOptimize database queries and data processing workflowsCollaborate with AI/ML teams to integrate models into production systemsEnsure system reliability, performance, and security Must Have Skills 5+ years of backend development experienceProficiency in Python, Java, or GoExperience with data pipeline tools (Apache Airflow, Kafka, Spark)Strong knowledge of database systems (PostgreSQL, MongoDB)Experience with cloud platforms (AWS, Azure, GCP) Nice-to-Have Experience with ML/AI model deploymentKnowledge of containerization (Docker, Kubernetes)Understanding of data engineering best practices APPLY NOW Senior Backend Engineer (Data Pipelines & APIs) Role Overview We are seeking a Senior Backend Engineer to design, build, and maintain scalable data pipelines and APIs that power our AI platforms. You will work with cutting-edge technologies to transform complex data into actionable insights. What Youll Do Design and implement scalable data pipelines for processing large-scale datasetsDevelop robust RESTful APIs and microservices architectureOptimize database queries and data processing workflowsCollaborate with AI/ML teams to integrate models into production systemsEnsure system reliability, performance, and security Must Have Skills 5+ years of backend development experienceProficiency in Python, Java, or GoExperience with data pipeline tools (Apache Airflow, Kafka, Spark)Strong knowledge of database systems (PostgreSQL, MongoDB)Experience with cloud platforms (AWS, Azure, GCP) Nice-to-Have Experience with ML/AI model deploymentKnowledge of containerization (Docker, Kubernetes)Understanding of data engineering best practices APPLY NOW

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