Job Title: Database Administrator (PostgreSQL) Experience: 3 to 6 years Location: Gurgaon (Hybrid) Employment Type: Full-time Job Description: We are seeking a skilled Database Administrator (DBA) with expertise in PostgreSQL and strong RDBMS concepts. The ideal candidate will be responsible for database performance monitoring, optimization, automation, and interaction with development teams to support business requirements. Key Responsibilities: 1. Database Administration & Management Manage, configure, and maintain PostgreSQL databases ensuring high availability and reliability. Implement Primary-Slave replication architecture and ensure smooth data synchronization. Work with AWS RDS for PostgreSQL database hosting. Automate database backups and manage release versions for database changes. Implement point-in-time recovery (PITR) backups in AWS RDS to ensure data integrity and disaster recovery. 2. Performance Monitoring & Optimization Regularly monitor database health and performance metrics. Analyze and optimize slow queries to enhance application performance. Fine-tune database performance using configuration parameters, buffers, connections, Disk IOPs, and memory. 3. SQL Development & Optimization Write, optimize, and maintain stored procedures, SQL functions, and SQL Views. Implement indexing strategies to improve query performance. 4. Collaboration & Requirement Analysis Work closely with application developers and business analysts to understand new product requirements. Provide recommendations on database design and architecture for scalable solutions. 5. Database Security & Compliance Implement best practices for database security, access control, and data integrity. Ensure compliance with data governance and security policies. 6. Automation & Maintenance Automate database maintenance tasks such as backups, indexing, and archiving. Establish monitoring and alerting systems to proactively address database issues. Technical Expertise Required: 3 to 6 years of experience as a Database Administrator (DBA). Strong knowledge of PostgreSQL and RDBMS principles. Experience in writing stored procedures, SQL functions, and SQL Views. Hands-on experience in query optimization and performance tuning. Understanding of Primary-Slave architecture and replication setup. Knowledge of database configuration tuning (buffers, connections, Disk IOPs, Memory, etc.). Experience in automating database backups and version control for DB changes. Familiarity with AWS RDS for PostgreSQL and point-in-time backup (PITR). Experience in cloud-based database solutions (AWS RDS, Azure, GCP). Strong problem-solving and analytical skills. Preferred Qualifications: Experience in high-availability solutions and disaster recovery strategies. Exposure to NoSQL databases is a plus. Experience with database migrations and upgrades.

Data Analytics Engineer Job Description Job Title: Data Analytics Engineer Experience: 3 to 6 years Location: Gurgaon (Hybrid) Employment Type: Full-time Job Description: We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. Key Responsibilities: 1. Data Pipeline Development & Maintenance Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. Ensure seamless data replication and transformation across multiple systems. Implement and optimize CDC-based data pipelines from various source systems. 2. Data Layering & Warehouse Management Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. Design and manage data pipelines for structured and unstructured data. Ensure data integrity and quality within Redshift and other analytical data stores. 3. Database Management & SQL Development Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. Design and implement data models that support business intelligence and analytics use cases. 4. Data Lakes & Storage Optimization Work with AWS S3-based Data Lakes to store and manage large-scale datasets. Optimize data ingestion and retrieval using Apache Parquet. 5. Data Integration & Automation Integrate diverse data sources into a centralized analytics platform. Automate workflows to improve efficiency and reduce manual effort. Leverage Python for scripting, automation, and data manipulation where necessary. 6. Performance Optimization & Monitoring Monitor data pipelines for failures and implement recovery strategies. Optimize data flows for better performance, scalability, and cost-effectiveness. Troubleshoot and resolve ETL and data replication issues proactively. Technical Expertise Required: 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. Hands-on experience with Qlik Replicate & Qlik Compose for data integration. Strong SQL expertise, with experience in writing and optimizing queries for Redshift. Experience working with Bronze, Silver, and Gold layer architectures. Knowledge of Change Data Capture (CDC) pipelines from multiple sources. Experience working with AWS S3 Data Lakes. Experience working with Apache Parquet for data storage optimization. Basic understanding of Python for automation and data processing. Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. Strong analytical and problem-solving skills. Ability to work in a fast-paced, agile environment. Preferred Qualifications: Experience in performance tuning and cost optimization in Redshift. Familiarity with big data technologies such as Spark or Hadoop. Understanding of data governance and security best practices. Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI.

Job Title: Senior AWS DevOps Engineer Location: Gurgaon (Hybrid) Experience: 5 to 8Years Job Type: Full-Time About the Role: We are seeking a highly experienced Senior AWS DevOps Engineer to join our dynamic team. The ideal candidate will have a deep understanding of AWS cloud services, infrastructure automation, CI/CD pipelines, and security best practices. This role involves designing, implementing, and managing scalable, secure, and reliable cloud-based solutions while optimizing deployment processes and system performance. Key Responsibilities: Architect, build, and maintain highly scalable, reliable, and secure AWS infrastructure. Implement and manage CI/CD pipelines using tools like Jenkins, Bitbucket or AWS CodePipeline. Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK. Automate deployment, monitoring, and scaling of applications and infrastructure. Optimize cloud costs and performance through effective resource management and scaling strategies. Manage Kubernetes clusters (EKS) and containerized applications using Docker. Monitor system performance, troubleshoot issues, and ensure high availability and reliability. Enforce security best practices, including IAM policies, network security, and compliance with industry standards. Collaborate with developers, architects, and security teams to enhance DevOps best practices. Drive continuous improvement in deployment efficiency and system resilience. Required Skills & Qualifications: 5+ years of experience in DevOps, cloud computing, or infrastructure engineering. Expertise in AWS services including EC2, S3, Lambda, RDS, IAM, VPC, CloudWatch, ECS, and EKS. Strong proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, AWS CDK or AWS SAM. Hands-on experience with CI/CD pipelines (Jenkins, Bitbucket, CI/CD, or AWS CodePipeline). Strong knowledge of Kubernetes and container orchestration (EKS, Docker, Helm). Proficiency in scripting and automation using Python, Bash, or Go. Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack, AWS CloudWatch, or Datadog. Solid understanding of networking, security best practices, and IAM policies. Experience with configuration management tools like Ansible, Puppet, or Chef. Ability to optimize cloud cost and performance. Strong troubleshooting and problem-solving skills. Experience working in Agile/Scrum development environments. Experience with LZA pipelines Preferred Qualifications: AWS Certified DevOps Engineer Professional or equivalent certification. Knowledge of serverless architectures (AWS Lambda, API Gateway, DynamoDB). Experience with Service Mesh architectures will be advantageous.

Role: Sr.Backend Developer (Node.js) Experience Level: 5-8 years We are looking for a Backend developer who will be responsible for designing, developing, and maintain server-side applications using the Node.js framework. ROLES AND RESPONSIBILITIES Development: Design, develop, and maintain backend services and APIs using Nodejs.Database Management: Work with SQL and NoSQL databases, including MongoDB, PostgreSQL, and others.Code Quality: Write clean, maintainable, and efficient code while adhering to best practices.Integration: Integrate third-party services and APIs.Testing: Implement unit and integration tests to ensure code quality.Collaboration: Work closely with frontend developers, product managers, and other stakeholders to deliver high-quality products.Debugging: Identify and resolve performance and scalability issues.Documentation: Maintain technical documentation for code and APIs.Agile Methodologies: Participate in Agile/Scrum development processes and contribute to sprint planning, retrospectives, and daily stand-ups.Continuous Improvement: Stay updated with the latest industry trends and technologies to ensure our tech stack remains current and robust. DESIRED EXPERTISE/TECHNICAL EXPERTISE: Experience: 5 -8 years of professional experience in backend development using Node.js. Proficiency: Strong proficiency in JavaScript and TypeScript. Frameworks: Experience with Express.js or NestJS(preferable) frameworks. Databases: Proficient in working with both SQL and NoSQL databases. Version Control: Experience with Git and version control systems. APIs: Solid understanding of RESTful APIs and microservices architecture. Any experience with Soap APIs will be an advantage. Testing: Experience with testing frameworks like Mocha, Chai, Jest, or similar. Deployment: Familiarity with CI/CD pipelines and containerization technologies such as Docker. Problem-Solving: Excellent problem-solving skills and ability to work independently or as part of a team. Cloud Services: Experience with cloud platforms such as AWS (preferable), Google Cloud, or Azure. Security: Knowledge of security best practices in backend development. Performance Tuning: Experience with performance tuning and optimization of backend services. Additional Tools: Familiarity with tools like Redis, RabbitMQ, AWS SQS or similar technologies. Communication: Strong communication skills and ability to collaborate effectively with team members and stakeholders.

Job Description: We are seeking a skilled Data Visualization Engineer with expertise in Qlik Sense and experience working with reporting tools like PowerBI, Tableau, Looker, and Qlik Sense. The ideal candidate will have a strong understanding of QVF and QVD structures, basic HTTP API integrations, and end-to-end data pipelines. Some knowledge of Python for data processing and automation will be a plus. This role will primarily focus on Qlik Sense reporting. Technical Expertise Required: • 2 to 4 years of experience in Data Visualization or BI Reporting roles. • Strong experience with Qlik Sense (QVF & QVD structures, scripting, visualization). • Hands-on experience with PowerBI, Tableau, Looker. • Basic understanding of HTTP APIs for data integration• Understanding of end-to-end data pipelines. • Knowledge of Python for automation and data transformation. • Experience in performance optimization of dashboards and reports. • Strong analytical and problem-solving skills. Preferred Qualifications: • Experience in data modeling and ETL concepts. • Familiarity with cloud-based data visualization solutions. • Understanding of data governance and security best practices.

DESIRED EXPERTISE/TECHNICAL EXPERTISE: • Bachelors degree in computer science, Software Engineering, or MCA • Relevant experience of 2-3 years as React native developer • Solid understanding of JavaScript, HTML, and CSS. • Familiarity with React Native and its ecosystem. • Basic knowledge of frontend development principles and practices. • Familiarity with version control systems, preferably Git. • Strong problem-solving and analytical skills. • Excellent communication and teamwork skills. • Ability to learn quickly and work effectively in a fast-paced environment