Automation testing engineer

Job description
Job Title: Automation Test Engineer – Karate Framework (Kafka)
Location: Hyderabad Only
Experience: 5–8 Years
Number of Positions: 3
Job Summary
We are looking for a highly skilled Automation Test Engineer with strong experience in Karate Framework and Kafka-based message testing. The ideal candidate will have hands-on expertise in validating event-driven architectures, ensuring data integrity across Kafka pipelines, and working with relational and NoSQL databases. This role requires close collaboration with development, DevOps, and product teams in an Agile environment.
Strong understanding of Kafka concepts, including topics, partitions, consumers, producers, and security.
• Hands-on required on Oracle and Mongo - able to write queries based on mapping logic.
• Must have Message testing experience (JSON, Avro, Kafka etc).
• Strong in Kafka client configuration and troubleshooting Kafka issues.
• Experience in continuous integration and automated testing.
• Able to verify the integrity of data flowing through Kafka, including data serialization/deserialization, and data validation.
• Design, Develop and execute test plans and scenarios to verify Kafka functionality, including data production, consumption, and message processing.
• Working knowledge and experience of Postman, Git.
• Agile ceremonies, X-ray and Jira/Confluence experience
Data Engineer / Operations Specialist
Location: Gurgaon/Pune
Experience: 5+ years
Key Responsibilities (Primary Skills)
Job description
1.Strong programming skills – preferably Core Python or JavaScript
2.SQL expertise – joins, basic SQL functions
3.System integrations using APIs or microservices or inbuilt connectors
4.Good communication and positive attitude
5.Willingness to learn new technologies and toolsets
6.Good problem-solving skills
7.Strong troubleshooting skills
8.Excellent Communication skills
Secondary
1.Knowledge of marketing domain and marketing tools
2.Strong understanding of data concepts, including data profiling and data object schema design
3.Experience with low-code/no-code system integrations
Nice to Have:
1.Experience with SQL stored procedures
2.Knowledge of any cloud platform (preferably Azure) – ADF, Databricks
3.Experience with Salesforce Marketing Cloud – Automation Builder, Audience & Contact Builder, Forms
Sr. DevOps Engineer:-
Job description
1.Build, deploy, and manage scalable, secure, and highly available AWS cloud infrastructure using a Terraform. 2. Write and maintain high-quality code(python, bash or shell scripts); participate in design discussions and code reviews.
Job description
3. Design, build, and maintain end-to-end Jenkins CI/CD pipelines for data platforms, ETL workflows, and cloud infrastructure deployments. 4. Design and manage data storage and lifecycle strategies using S3, RDS, Snowflake, DynamoDB, and other NoSQL databases. 5. Integrate Jenkins pipelines with Git-based version control systems to support branching strategies, pull-request validation, and automated testing. 6. Build monitoring and observability dashboards. 7. Optimize and manage cloud costs. 8. Enforce security protocols, manage users/roles, and ensure data integrity and availability. 9. Maintain documentation and standards.
10. Excellent communication skills
Must-Have Skills: 1. 7+ years of experience with public cloud (AWS preferred). 2. Strong scripting skills in Python, bash or Shell. 3. Hands-on experience with Infrastructure as Code tools (Terraform). 4. Hands-on experience of CI/CD tools (GitHub, Jenkins, etc.). 5. Hands-on expertise in data pipeline orchestration (Apache Airflow or similar). 6. Skilled in performance diagnostics, debugging, and tuning. 7. Familiarity with container platforms (Kubernetes, ECS, etc.). 8. Excellent verbal, written, and interpersonal communication skills.
Skills Expected Proficiency Level AWS Cloud Services (EC2, S3, EMR, IAM, VPC, Lambda, CloudWatch) Advanced Infrastructure as Code (Terraform / CloudFormation) Expert CI/CD Pipelines Expert Data Engineering (ETL/ELT on EMR, Snowflake) Advanced Apache Spark (Core, SQL, Performance Tuning) Advanced Hive & Trino Intermediate Scripting (Python, Java, Shell) Advanced Workflow Orchestration (Airflow / Oozie) Intermediate Monitoring & Observability (CloudWatch, Prometheus, Grafana) Intermediate Cost Optimization Intermediate Security & Governance (IAM, Encryption, Role-based Access) Intermediate
Job description
Containers & Orchestration (Docker, Kubernetes, ECS) Intermediate Performance Diagnostics & Debugging Intermediate Collaboration & Communication Intermediate
Senior Azure Architect – Data Engineering Location: Gurgaon Key Responsibilities (Primary): This role requires a senior-level professional with advanced and specialized knowledge in cloud architecture, databases, programming concepts, and technology integrations. The primary responsibility is to design, deploy, and manage secure, scalable, and cost-effective cloud infrastructure on Microsoft Azure, leveraging services across networking, compute, storage, and automation. Experience / Skillset Requirements: 1.Create highly available, multi-region cloud solutions using Azure services such as Virtual Machines, Web Apps, Storage, VNet, DNS, and Private Endpoints. 2.Set up integrations across Azure services including Azure Log Analytics, Azure ML, Foundry, Vector DB, and demonstrate familiarity with Azure Blob Storage, Azure Databricks, and Azure Data Factory functionalities. 3.knowledge of administering Azure environments, including provisioning, configuration, performance monitoring, policy governance, and security. 4.Experience in setting up version-controlled CI/CD pipelines, preferably using Azure DevOps or Git. 5.Manage access controls, implement data-protection policies, and ensure all cloud solutions meet security and compliance standards. 6.Must have experience leading a team of at least 5-10 members. Worked with the leadership team to discuss and implement the roadmap. 7.Excellent communication skills with a positive, proactive attitude. Self-driven with strong analytical, problem-solving, and collaboration skills for working across cross-functional teams. 8.Good working knowledge of Python programming and SQL.
Nice to Have: 1.Hands-on experience in setting up and implementing ETL data pipelines. 2.Experience with data mining architecture, modeling standards, reporting, and data analysis methodologies. 3.Knowledge of Marketing domain, preferably in a B2B environment. 4.Experience with PySpark. 5.Experience with BI/Reporting tools such as Power BI or Tableau. 6.Experience with AI/ML workloads in Azure.