0 Negotiable or Not Mentioned
India, Hyderabad
10 days ago
thewitslab.com
243 Views
Wits Innovation Lab is currently seeking a highly skilled and experienced Site Reliability Engineer (SRE) to join our dynamic team in Hyderabad. This role is designed for professionals with 5 to 10 years of experience who are passionate about maintaining high-performance systems. The ideal candidate will have extensive experience in the Payments or UPI domain, working specifically with high TPS systems and low latency architectures. Immediate joiners are preferred for this position to help support our growing infrastructure and ensure optimal system reliability.
As a Site Reliability Engineer, you will be responsible for a wide range of tasks including Linux administration, containerization using Docker, and managing web servers like Nginx. You will also oversee data streaming and caching services such as Redis and Kafka, while building robust CI/CD pipelines using Jenkins, Git, and Ansible. Your role will involve deep dives into networking, firewalls, and capacity planning. Furthermore, you will utilize monitoring tools like ELK, Grafana, and Prometheus to conduct root cause analysis and maintain system health in a fast-paced technical environment.
Key Requirements
5 to 10 years of professional experience in Site Reliability Engineering or DevOps.
Advanced proficiency in Linux Administration and system troubleshooting.
Proven experience with containerization technologies, specifically Docker.
Hands-on expertise with Nginx, Redis, and Kafka management.
Demonstrated ability to implement and manage CI/CD pipelines using Jenkins and Git.
Strong automation skills using configuration management tools like Ansible.
Proficiency in Shell Scripting for task automation and system maintenance.
Experience setting up and managing monitoring stacks such as ELK, Grafana, and Prometheus.
Solid understanding of Networking protocols, Firewalls, and Web Application Firewalls (WAF).
Ability to perform Root Cause Analysis (RCA) and lead Capacity Planning initiatives.
0 Negotiable or Not Mentioned
India
20 days ago
pyxidiatech.com
1189 Views
We are seeking a highly skilled Senior Data Analyst to join our dynamic team and play a pivotal role in designing, building, and scaling innovative data solutions across our products and client implementations. The successful candidate will be responsible for developing scalable data pipelines, optimizing ETL workflows, and ensuring the highest standards of data quality and reliability. You will work closely with cross-functional teams, including Product, Engineering, and Data Science, to drive data architecture decisions and deliver actionable insights that solve complex business challenges. This role offers the opportunity to provide technical guidance and mentorship to junior analysts while working on impactful, data-driven projects. This position is available in multiple locations across India, specifically Mumbai, Bangalore, and Pune. The ideal candidate will have over four years of experience in data-focused roles and a deep understanding of the AWS ecosystem, including Redshift, Athena, and EMR. Experience with US Healthcare Data is considered a significant advantage. Candidates must be proficient in Python, PySpark, and SQL, and possess a strong grasp of data modeling and performance optimization. If you are passionate about big data and looking to make a significant impact in a collaborative environment, we encourage you to apply.
Key Requirements
Minimum of 4 years of professional experience in Data Analytics or Data Engineering.
Demonstrated expertise in SQL and both relational and NoSQL database management.
Hands-on proficiency with Python and PySpark for processing large-scale datasets.
Proven experience in building and optimizing ETL/ELT pipelines using Airflow or AWS Glue.
Strong conceptual understanding of data modeling and performance tuning.
Advanced technical knowledge of AWS data services including S3, EMR, Redshift, and Athena.
Ability to design and manage complex data architectures across structured and unstructured sources.
Competency in maintaining high standards for data quality, validation, and monitoring.
Strategic thinking skills to perform analysis and generate actionable business insights.
Strong collaborative skills to work effectively with Product, Engineering, and Client teams.