32 Storage Solutions Jobs - Page 2

successful candidate will be responsible for driving sales and expanding our client base within the racking industry. The ideal candidate will have a strong background in sales, excellent communication skills, clients optimize their storage solutions Required Candidate profile 2+ years of experience in sales, preferably within the racking or related industry, preferably MHE (Material Handling Equipment) Channel Sales, Dealer Sales & Development, Client Relationship

The ideal candidate will be responsible for developing, executing sales strategies, managing key accounts, driving growth in our sales operations. excellent leadership abilities & strong background in sales related industry, Client relationship Required Candidate profile Market analysis, Product knowledge, Proposal & Quotation, Customer Support, willingness to travel as required, preferably within the racking or storage industry

Must be Regional Strategy, Team Leadership, Client Management, Sales Performance, operational Oversight, Market Analysis, Conduct market research & analysis Proven track record of successfully managing regional operations and achieving sales targets Required Candidate profile Management role within the racking or related industry. Willing to travel across the region Solid understanding of racking systems and storage solutions is preferred

Diensten Tech Limited is looking for Lead - Veritas to join our dynamic team and embark on a rewarding career journey Oversee Veritas backup and recovery solutions Ensure data integrity and disaster recovery planning Optimize Veritas configurations for performance Collaborate with IT teams for storage solutions

Job Title: Data Engineer (Java + Hadoop/Spark) Location: Bangalore Type: Full Time Experience: 8-12 years Notice Period Immediate Joiners to 30 Days Job Description: We are looking for a skilled Data Engineer with strong expertise in Java and hands-on experience with Hadoop or Spark. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and processing systems. Key Responsibilities: Develop and maintain data pipelines using Java. Work with big data technologies such as Hadoop or Spark to process large datasets. Optimize data workflows and ensure high performance and reliability. Collaborate with data scientists, analysts, and other engineers on data-related initiatives. Requirements: Strong programming skills in Java. Hands-on experience with Hadoop or Spark. Experience with data ingestion, transformation, and storage solutions. Familiarity with distributed systems and big data architecture.

Job Title: Data Engineer - Ingestion, Storage & Streaming (Confluent Kafka) Job Summary: As a Data Engineer specializing in Ingestion, Storage, and Streaming, you will design, implement, and maintain robust, scalable, and high-performance data pipelines for the efficient flow of data through our systems. You will work with Confluent Kafka to build real-time data streaming platforms, ensuring high availability and fault tolerance. You will also ensure that data is ingested, stored, and processed efficiently and in real-time to provide immediate insights. Key Responsibilities: Kafka-Based Streaming Solutions: Design, implement, and manage scalable and fault-tolerant data streaming platforms using Confluent Kafka. Develop real-time data streaming applications to support business-critical processes. Implement Kafka producers and consumers for ingesting data from various sources. Handle message brokering, processing, and event streaming within the platform. Ingestion & Data Integration: Build efficient data ingestion pipelines to bring real-time and batch data from various data sources into Kafka. Ensure smooth data integration across Kafka topics and handle multi-source data feeds. Develop and optimize connectors for data ingestion from diverse systems (e.g., databases, external APIs, cloud storage). Data Storage and Management: Manage and optimize data storage solutions in conjunction with Kafka, including topics, partitions, retention policies, and data compression. Work with distributed storage technologies to store large volumes of structured and unstructured data, ensuring accessibility and compliance. Implement strategies for schema management, data versioning, and data governance. Data Streaming & Processing: Leverage Kafka Streams and other stream processing frameworks (e.g., Apache Flink, ksqlDB) to process real-time data and provide immediate analytics. Build and optimize data processing pipelines to transform, filter, aggregate, and enrich streaming data. Monitoring, Optimization, and Security: Set up and manage monitoring tools to track the performance of Kafka clusters, ingestion, and streaming pipelines. Troubleshoot and resolve issues related to data flows, latency, and failures. Ensure data security and compliance by enforcing appropriate data access policies and encryption techniques. Collaboration and Documentation: Collaborate with data scientists, analysts, and other engineers to align data systems with business objectives. Document streaming architecture, pipeline workflows, and data governance processes to ensure system reliability and scalability. Provide regular updates on streaming and data ingestion pipeline performance and improvements to stakeholders. Required Skills & Qualifications: Experience: 3+ years of experience in data engineering, with a strong focus on Kafka, data streaming, ingestion, and storage solutions. Hands-on experience with Confluent Kafka, Kafka Streams, and related Kafka ecosystem tools. Experience with stream processing and real-time analytics frameworks (e.g., ksqlDB, Apache Flink). Technical Skills: Expertise in Kafka Connect, Kafka Streams, and Kafka producer/consumer APIs. Proficient in data ingestion and integration techniques from diverse sources (databases, APIs, etc.). Strong knowledge of cloud data storage and distributed systems. Experience with programming languages like Java, Scala, or Python for Kafka integration and stream processing. Familiarity with tools such as Apache Spark, Flink, Hadoop, or other data processing frameworks. Experience with containerization and orchestration tools such as Docker, Kubernetes.

JOB RESPONSIBILITIES: Ability to analyze and debug problems at network, storage and virtualization layers of a scale out distributed storage solutions in public, private and hybrid cloud environments. Help to develop knowledge base that enables faster troubleshooting of customer issues. Provide feedback on existing tools and help to identify and develop the necessary tools needed to triage customer problems. Research, diagnose, troubleshoot and solve customer issues, involving and working with engineering teams as needed. Work with technical writing resources to ensure resolution to customer issues are documented appropriately. Help to define the support process from initial issue found by customer, to reporting the issue to Samsung, to resolution and fix for the customer. Ability to interface with customers in a professional manner, working to understand issue(s) they may be facing. REQUIRED SKILLS BS/MS Computer Science or equivalent with a minimum of 7+ years with storage solutions. Experience testing and/or debugging storage systems, preferable distributed systems Experience and understanding of NFS protocols (v3, v4.1, pNFS) Experience with other storage protocols such as SMB and S3 are a plus Familiarity with virtualization technologies (VMware, Hyper-V) and containers Experience with network solutions for clouds including network virtualization technologies Able to demonstrate leadership skills and take ownership of customer issues reported. Commitment, focus, and follow-through needed to see problems through to resolution. Exceptional customer service skills and excellent communication skills to provide prompt and accurate feedback to customers. Proven ability to research, diagnose, troubleshoot, and identify solutions to customer issues. Ability to develop scripts using Python or other scripting languages a plus. Experience supporting customers running storage solutions, preferably NAS or ethernet based solutions PERSONAL CHARACTERISTICS Know how to tell between perfect and good enough Ready to take on difficult tasks on your own Team player Displays good judgment Willingness to challenge, debate and clarify assumptions Comfortable working in a very fast-past environment with a global team Role & responsibilities Preferred candidate profile