Redshift Jobs in Chennai

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

DevOps Engineer Location: Chennai Work Type: Full Time About Tazapay Tazapay is a global cross-border payments service provider, enabling businesses to collect payments locally in 70+ markets through local payment methods, virtual accounts, and cards. With Tazapay, merchants can expand internationally without setting up local entities, supported by our compliance framework that handles regional regulations and requirements. This approach delivers lower transaction costs, transparent FX, and higher authorization rates, empowering businesses to scale globally with ease. Tazapay is licensed across multiple jurisdictions and backed by leading global investors. This is a unique opportunity to join an amazing team right before our next stage of rapid expansion. At Tazapay, you ll: Build meaningful systems from the ground up See your work directly impact thousands of global users Collaborate with world-class teams across Engineering, Product, Sales, Marketing, Finance, and more Be part of a culture that values openness, innovation, and shared memories Ready for the ride? Come discover what you can create with us. About the Role We are looking for a DevOps Engineer who is passionate about automation, simplicity, and building scalable infrastructure. You ll help design, implement, and maintain core cloud platforms and CI/CD pipelines that power Tazapay s global payment products. You will work across cloud infrastructure, observability, security, deployment automation, and microservices helping to enable fast, reliable, and secure delivery of new features. Requirements Must Have Education & Mindset Degree in Computer Science, Software Engineering, IT, or equivalent experience Strong curiosity about how things work Passion for learning new technologies and improving systems Obsession with automation, simplicity, and elegant engineering Ability to jump into new situations with minimal structure and improve processes Technical Skills Extensive hands-on experience with AWS services Strong familiarity with at least one programming/scripting language (Python, Go, or Shell) Experience with Load Balancing and API Gateway Basic understanding of REST or gRPC & Protocol Buffers Understanding of Kubernetes and Cloud Native technologies Experience with CI/CD tools such as GitHub Actions or Jenkins Infrastructure as Code experience: AWS CDK, CloudFormation, Terraform Familiarity with observability stacks: OpenTelemetry, Prometheus, Grafana Experience working with containerization tools like Docker Experience managing RDBMS/NoSQL systems (Postgres, MongoDB) Background in microservice architecture Experience with configuration management tools Strong understanding of OS fundamentals, especially Linux Nice to Have Prior startup experience Familiarity with AWS data engineering services (DMS, Glue, Athena, Redshift, QuickSight) Experience working with geo-distributed teams AWS Cloud Certifications Basic security knowledge (OWASP, static code analysis) Experience with fintech security and compliance standards (PCI-DSS, SOC 2) Qualification : Degree in Computer Science, Software Engineering, IT, or equivalent experience

Designation: DevOps Engineer Location: Chennai Experience: 3-5 Years Qualification: Any Degree Employment Type: Full-Time Role Overview We are seeking a highly skilled DevOps Engineer with deep expertise in AWS cloud infrastructure, large-scale application deployment, database optimization, and ETL/OLAP workloads. The ideal candidate will design, deploy, and manage scalable, secure, and high-performing web applications, collaborating closely with project heads, development teams, and stakeholders to align infrastructure solutions with business objectives. Key Responsibilities Architect, build, and manage scalable cloud infrastructure on AWS supporting large-scale applications. Deploy, optimize, and maintain Magento applications with a focus on performance and security. Implement load balancing and traffic distribution strategies to ensure application scalability. Manage AWS compute services: EC2, Lambda, ECS, EKS, and Fargate for containerized workloads. Administer AWS database services, including RDS (MySQL, PostgreSQL, Oracle HeatWave), DynamoDB, Redshift, and Aurora for efficient data management. Optimize ETL pipelines and OLAP workloads using AWS Glue, Data Pipeline, Step Functions, and Athena. Implement caching solutions via Redis, Memcached, and AWS ElastiCache to boost application speed. Manage CDN with AWS CloudFront for seamless content delivery. Monitor system and application performance using New Relic, AWS CloudWatch, Prometheus, and Grafana. Configure and secure networking with AWS VPC, Route 53, API Gateway, and AWS WAF. Automate deployment, scaling, and infrastructure management using CI/CD pipelines and Infrastructure as Code tools such as Terraform and AWS CloudFormation. Enforce security best practices including IAM roles, security groups, firewalls, and encryption. Troubleshoot and proactively resolve system failures and performance issues. Required Skills & Qualifications 3-5 years of hands-on experience in DevOps, Cloud Engineering, or System Administration roles. Strong expertise with AWS services, including: Compute: EC2, Lambda, ECS, EKS, Fargate Databases: RDS (MySQL, PostgreSQL, Oracle HeatWave), Redshift, Aurora Networking: VPC, Route 53, API Gateway, AWS WAF Storage: S3, EFS, FSx, Glacier ETL & OLAP: AWS Glue, Data Pipeline, Athena, Step Functions Monitoring: New Relic, CloudWatch, Prometheus, Grafana Experience managing large-scale applications ensuring high availability and performance. Proficiency in caching technologies: Redis, Memcached, AWS ElastiCache. Strong understanding of CDN technologies like AWS CloudFront. Skilled in infrastructure automation with Terraform, CloudFormation, and CI/CD pipelines. Proficient in scripting languages such as Bash, Python, and Terraform for automation tasks. Ability to independently manage end-to-end cloud infrastructure. Preferred Qualifications Experience deploying and optimizing Magento applications. Familiarity with microservices architecture and serverless computing. Knowledge of cost optimization strategies and cloud resource management. Experience with multi-region deployments and disaster recovery planning. Exposure to other cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure is a plus. Qualification : Any Degree