Native Android Development

Job Description

Primary Skill: Native Android Development Secondary Skills: IOS, Hybrid Apps, API Integration, Cloud Technologies Domain: HealthcareRole Summary: · This role will be instrumental in building and maintaining robust, scalable, and reliable data pipelines using Confluent Kafka, ksqlDB, Kafka Connect, and Apache Flink. · The ideal candidate will have a strong understanding of data streaming concepts, experience with real-time data processing, and a passion for building high-performance data solutions. · This role requires excellent analytical skills, attention to detail, and the ability to work collaboratively in a fast-paced environment. Essential Responsibilities · Design & develop data pipelines for real-time and batch data ingestion and processing using Confluent Kafka, ksqlDB, Kafka Connect, and Apache Flink. · Build and configure Kafka Connectors to ingest data from various sources (databases, APIs, message queues, etc.) into Kafka. · Develop Flink applications for complex event processing, stream enrichment, and real-time analytics. · Develop and optimize ksqlDB queries for real-time data transformations, aggregations, and filtering. · Implement data quality checks and monitoring to ensure data accuracy and reliability throughout the pipeline. · Monitor and troubleshoot data pipeline performance, identify bottlenecks, and implement optimizations. · Automate data pipeline deployment, monitoring, and maintenance tasks. · Stay up-to-date with the latest advancements in data streaming technologies and best practices. · Contribute to the development of data engineering standards and best practices within the organization. · Participate in code reviews and contribute to a collaborative and supportive team environment. · Work closely with other architects and tech leads in India & US and create POCs and MVPs · Provide regular updates on the tasks, status and risks to project manager · The experience we are looking to add to our team Required · Bachelor’s degree or higher from a reputed university · 8 to 10 years total experience with majority of that experience related to ETL/ELT, big data, Kafka etc. · Proficiency in developing Flink applications for stream processing and real-time analytics. · Strong understanding of data streaming concepts and architectures. · Extensive experience with Confluent Kafka, including Kafka Brokers, Producers, Consumers, and Schema Registry. · Hands-on experience with ksqlDB for real-time data transformations and stream processing. · Experience with Kafka Connect and building custom connectors. · Extensive experience in implementing large scale data ingestion and curation solutions · Good hands on experience in big data technology stack with any cloud platform - · Excellent problem-solving, analytical, and communication skills. · Ability to work independently and as part of a team Good to have · Experience in Google Cloud · Healthcare industry experience · Experience in Agile Job Type: Full-time Pay: ₹2,500,000.00 - ₹3,000,000.00 per year Schedule: Day shift Work Location: In person