12 Data Streaming Jobs

Roles And Responsibilities. Develop, test, and maintain scalable backend services and APIs using GoLang.. Design and implement high-performance, reliable, and maintainable systems.. Work with databases like PostgreSQL to design efficient and scalable data storage solutions.. Integrate and manage messaging systems such as Redis and Kafka for seamless. communication between services.. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.. Debug, troubleshoot, and resolve complex backend issues effectively.. Ensure backend systems meet performance and security standards.. Stay updated with the latest backend technologies and incorporate best practices in development.. Required Skills. Backend Development : 5+ years of experience in building and maintaining backend systems.. GoLang Expertise : At least 3+ years of hands-on development experience.. Database Management : Proficient in working with PostgreSQL for efficient database. solutions.. Messaging Systems : Experience with Redis and Kafka for data streaming and caching.. Scalability & Performance : Strong understanding of designing scalable and high-performance :. Excellent debugging and analytical skills to resolve backend issues.. Collaboration : Ability to work effectively in a team environment and contribute to overall project success..

About the Role: We are looking for a hands-on AWS Data Architect OR Lead Engineer to design and implement scalable, secure, and high-performing data solutions. This is an individual contributor role where you will work closely with data engineers, analysts, and stakeholders to build modern, cloud-native data architectures across real-time and batch pipelines. Experience: 715 Years Location: Fully Remote Company: Armakuni India Key Responsibilities: Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. Data Modeling: Create and manage logical, physical, and conceptual data models to support various business applications and analytics. Database Design: Design and implement database solutions, including data warehouses, data lakes, and operational databases. Data Integration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. Data Governance: Implemented enforce data governance policies and procedures to ensure data quality, consistency, and security. Technology Evaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the worlds leading brands Documentation: Create and maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. Performance Tuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Required Skills: Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance. Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum7to15 years of experience in data architecture or related roles. Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertise with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of data integration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experience with data governance frameworks and tools.

Role: Data Engineer Exp: 5 to 8 Years Location: Bangalore, Noida, and Hyderabad (Hybrid, weekly 2 Days office must) NP: Immediate to 15 Days (Try to find only immediate joiners) Note: Candidate must have experience in Python, Kafka Streams, Pyspark, and Azure Databricks. Not looking for candidates who have only Exp in Pyspark and not in Python. Job Title: SSE Kafka, Python, and Azure Databricks (Healthcare Data Project) Experience: 5 to 8 years Role Overview: We are looking for a highly skilled with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing . This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams. Key Responsibilities: Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks . Architect scalable data streaming and processing solutions to support healthcare data workflows. Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data. Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.). Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions. Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows . Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering . Stay updated with the latest cloud technologies, big data frameworks, and industry trends . Required Skills & Qualifications: 4+ years of experience in data engineering, with strong proficiency in Kafka and Python . Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing. Experience with Azure Databricks (or willingness to learn and adopt it quickly). Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus) . Proficiency in SQL, NoSQL databases, and data modeling for big data processing. Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications. Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus. Strong analytical skills, problem-solving mindset, and ability to lead complex data projects. Excellent communication and stakeholder management skills. Email: Sam@hiresquad.in

Looking for Data Engineers, immediate joiners only, for Hyderabad, Bengaluru and Noida Location. * Must have experience in Python, Kafka Stream, Pyspark, and Azure Databricks.* Role and responsibilities: Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks . Architect scalable data streaming and processing solutions to support healthcare data workflows. Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data. Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.). Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions. Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows . Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering . Stay updated with the latest cloud technologies, big data frameworks, and industry trends . Preferred candidate profile : 5+ years of experience in data engineering, with strong proficiency in Kafka and Python . Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing. Experience with Azure Databricks (or willingness to learn and adopt it quickly). Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus) . Proficiency in SQL, NoSQL databases, and data modeling for big data processing. Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications. Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus. Strong analytical skills, problem-solving mindset, and ability to lead complex data projects. Excellent communication and stakeholder management skills. Interested, call: Rose (9873538143 / WA : 8595800635) rose2hiresquad@gmail.com

Role: Data Engineer Exp: 5 to 8 Years Location: Bangalore, Noida, and Hyderabad (Hybrid, weekly 2 Days office must) NP: Immediate to 15 Days (Try to find only immediate joiners) Note: Candidate must have experience in Python, Kafka Streams, Pyspark, and Azure Databricks. Not looking for candidates who have only Exp in Pyspark and not in Python. Job Title: SSE Kafka, Python, and Azure Databricks (Healthcare Data Project) Experience: 5 to 8 years Role Overview: We are looking for a highly skilled with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing . This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams. Key Responsibilities: Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks . Architect scalable data streaming and processing solutions to support healthcare data workflows. Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data. Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.). Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions. Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows . Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering . Stay updated with the latest cloud technologies, big data frameworks, and industry trends . Required Skills & Qualifications: 4+ years of experience in data engineering, with strong proficiency in Kafka and Python . Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing. Experience with Azure Databricks (or willingness to learn and adopt it quickly). Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus) . Proficiency in SQL, NoSQL databases, and data modeling for big data processing. Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications. Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus. Strong analytical skills, problem-solving mindset, and ability to lead complex data projects. Excellent communication and stakeholder management skills. Email: Sam@hiresquad.in

Looking for a Cloud Data Support Streaming Engineer with 8+ years of experience in Azure Data Lake, Databricks, PySpark, and Python. Role includes monitoring, troubleshooting, and support for streaming data pipelines.

Role & responsibilities Design real-time data pipelines for structured and unstructured sources. Collaborate with analysts and data scientists to create impactful data solutions. Continuously improve data infrastructure based on team feedback. Take full ownership of complex data problems and iterate quickly. Promote strong documentation and engineering best practices. Monitor, detect, and fix data quality issues with custom tools. Preferred candidate profile Experience with big data tools like Spark, Hadoop, Hive, and Kafka. Proficient in SQL and working with relational databases. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Familiar with workflow tools like Airflow.

We are seeking a skilled and motivated individual to join our team as a Real-Time Data Streaming Engineer. In this role, you will be responsible for designing, developing, and maintaining real-time data streaming applications using Apache Kafka. You will collaborate with cross-functional teams to integrate Kafka-based solutions into existing systems and ensure smooth data streaming and processing. Additionally, you will monitor and optimize Kafka clusters to ensure high availability, performance, and scalability. You will implement data pipelines and streaming processes that support business analytics and operational needs, while troubleshooting and resolving any issues that arise. Ideal candidates will have a strong foundation in Apache Kafka, real-time data streaming, and proficiency in Java, Scala, or Python, as well as a solid understanding of distributed systems and microservices architecture. Responsibilities: Design, develop, and maintain real-time data streaming applications using Apache Kafka. Collaborate with cross-functional teams to integrate Kafka solutions into existing systems. Monitor and optimize Kafka clusters to ensure high availability and performance. Implement data pipelines and streaming processes to support business analytics and operations. Troubleshoot and resolve issues related to data streaming and processing. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience with Apache Kafka and real-time data streaming. Proficiency in programming languages such as Java, Scala, or Python. Familiarity with distributed systems and microservices architecture. Strong problem-solving skills and the ability to work collaboratively in a team environment. Understanding of SOA, Object-oriented analysis and design, or client/server systems. Expert knowledge in REST, JSON, XML, SOAP, WSDL, RAML, YAML. Hands-on experience in large scale SOA design, development and deployment. Experience with API management technology Experience working with continuous integration and continuous deliver tools (CI/CD) and processes.

Job Title: Data Engineer - Ingestion, Storage & Streaming (Confluent Kafka) Job Summary: As a Data Engineer specializing in Ingestion, Storage, and Streaming, you will design, implement, and maintain robust, scalable, and high-performance data pipelines for the efficient flow of data through our systems. You will work with Confluent Kafka to build real-time data streaming platforms, ensuring high availability and fault tolerance. You will also ensure that data is ingested, stored, and processed efficiently and in real-time to provide immediate insights. Key Responsibilities: Kafka-Based Streaming Solutions: Design, implement, and manage scalable and fault-tolerant data streaming platforms using Confluent Kafka. Develop real-time data streaming applications to support business-critical processes. Implement Kafka producers and consumers for ingesting data from various sources. Handle message brokering, processing, and event streaming within the platform. Ingestion & Data Integration: Build efficient data ingestion pipelines to bring real-time and batch data from various data sources into Kafka. Ensure smooth data integration across Kafka topics and handle multi-source data feeds. Develop and optimize connectors for data ingestion from diverse systems (e.g., databases, external APIs, cloud storage). Data Storage and Management: Manage and optimize data storage solutions in conjunction with Kafka, including topics, partitions, retention policies, and data compression. Work with distributed storage technologies to store large volumes of structured and unstructured data, ensuring accessibility and compliance. Implement strategies for schema management, data versioning, and data governance. Data Streaming & Processing: Leverage Kafka Streams and other stream processing frameworks (e.g., Apache Flink, ksqlDB) to process real-time data and provide immediate analytics. Build and optimize data processing pipelines to transform, filter, aggregate, and enrich streaming data. Monitoring, Optimization, and Security: Set up and manage monitoring tools to track the performance of Kafka clusters, ingestion, and streaming pipelines. Troubleshoot and resolve issues related to data flows, latency, and failures. Ensure data security and compliance by enforcing appropriate data access policies and encryption techniques. Collaboration and Documentation: Collaborate with data scientists, analysts, and other engineers to align data systems with business objectives. Document streaming architecture, pipeline workflows, and data governance processes to ensure system reliability and scalability. Provide regular updates on streaming and data ingestion pipeline performance and improvements to stakeholders. Required Skills & Qualifications: Experience: 3+ years of experience in data engineering, with a strong focus on Kafka, data streaming, ingestion, and storage solutions. Hands-on experience with Confluent Kafka, Kafka Streams, and related Kafka ecosystem tools. Experience with stream processing and real-time analytics frameworks (e.g., ksqlDB, Apache Flink). Technical Skills: Expertise in Kafka Connect, Kafka Streams, and Kafka producer/consumer APIs. Proficient in data ingestion and integration techniques from diverse sources (databases, APIs, etc.). Strong knowledge of cloud data storage and distributed systems. Experience with programming languages like Java, Scala, or Python for Kafka integration and stream processing. Familiarity with tools such as Apache Spark, Flink, Hadoop, or other data processing frameworks. Experience with containerization and orchestration tools such as Docker, Kubernetes.

Client is looking for a strong Java candidate with the following skills. Spring Webflux and streaming knowledge is a must and key thing that they are looking for. Here is the overall JD for the position. RDBMS No At least 1 year Is Required CI/CD 2-5 Years Is Required Cloud Computing 2-5 Years Is Required Core Java 5-10 Years Is Required Kubernetes -2-5 Years Is Required microservices - 2-5 Years Is Required MongoDB - At least 1 year Nice To Have NoSQL -At least 1 year Nice To Have python - At least 1 year Is Required Spring Boot - 5-10 Years Is Required Spring Data - 2-5 Years Is Required Spring Security - 2-5 Years Is Required Spring Webflux - At least 1 year Is Required Stream processing - At least 1 year Is Required Java 17 - 2-5 Years Is Required Apache Kafka - At least 1 year Is Required Apache SOLR - At least 1 year Is Required Expertise with solution design and enterprise large scale applications development In-depth knowledge of integration patterns, integration technologies and integration platforms Experience with Queuing related technologies like Kafka Good hands-on experience to design and build cloud ready application Good programming skills in Java, Python etc Proficiency of dev/build tools: git, maven, gradle Experience with the modern NoSQL/Graph DB/Data Streaming technologies is a plus Good understanding of Agile software development methodology Location: hyd,mangalore.bubaneshawr,trivendrum

Position Title: Apache Flink Engineer Open Position: 3 Employment Type: Permanent; Full-Time. Location: Chennai Experience: 3+yrs Skills required: Confluent Kafka or Kafka Apache Spark or Apache Flink

Responsibilities Maintain and improve data pipeline performance. Build data products for batch and real-time business needs. Create and track metrics for analytics. Troubleshoot and fix data-related issues. Stay updated with new data engineering tools and trends. Optimize data pipelines for better performance and reliability. Ensure data quality and integrity. Work with cross-functional teams to integrate data solutions. Advise engineering teams on data practices. Requirements Hands-on experience with Data Streaming technologies (Kafka, Flink). Strong expertise in Data Warehousing and building scalable solutions. Proficient in NoSQL (e.g., HBase) and distributed storage systems like HDFS. Experience with real-time and batch data processing pipelines. Familiar with cloud platforms (AWS, GCP, Azure). Perks and Benefits Medical Insurance Internet Reimbursement Flexible working hours