LMTS - Big data Platform Engineer

Salesforce

8 - 13 years

25 - 30 Lacs

hyderabad

Posted:2 days ago| Platform:

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Skills Required

computer science performance tuning analytical data processing distribution system analytics sql crm python salesforce

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Description

We are seeking an experienced Distributed Systems Software Engineer to lead our Big Data infrastructure projects. You will play a critical role in developing reliable and efficient data infrastructure that supports scalable data processing and analytics for both internal and external customers.

Your Impact

Build Data Processing and Analytics Services: Develop scalable data processing and analytics services utilizing our big data stack, including Spark, Trino, Airflow, and Kafka, to support real-time and batch data workflows.
Architect Distributed Systems: Design, develop, and operate resilient distributed systems that manage thousands of compute nodes across multiple data centers, ensuring scalability and high availability.
Troubleshoot and Innovate: Resolve complex technical challenges and drive innovations that enhance system resilience, availability, and performance.
Service Ownership and Live-Site Management: Manage the full lifecycle of services, balancing live-site reliability, feature development, and technical debt retirement. Maintain a strong focus on service reliability and performance.
On-Call Support: Participate in the team s on-call rotation to address complex, real-time issues, keeping critical services operational and highly available.
Mentor and Guide Team Members: Provide mentorship and technical guidance to junior engineers, fostering growth, collaboration, and knowledge-sharing within the team.

Required Qualifications

Education and Experience: Bachelor s or Master s in Computer Science, Engineering, or a related field with 8+ years of experience in distributed systems, big data, or similar roles.
Experience with Cloud Environments: Proficiency in cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible).
Expertise in Big Data Technologies: Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafka, and related ecosystems.
Proficiency in Programming: Strong skills in Python, Java, Scala, or other programming languages relevant to distributed systems.
Deep Understanding of Distributed Systems: Solid knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuning.
Analytical and Problem-Solving Skills: Proven ability to troubleshoot complex system issues, optimizing for speed, efficiency, and scale.

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