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  • Entry level Technical Associates - Mangaluru - Sierra Learning Academy Private Limited

    Sierra Learning Academy Private Limited
    Sierra Learning Academy Private Limited Mangaluru

    1 month ago

    Default job background
    Description

    Job Overview

    We are seeking a motivated, entry-level Technical Associate to join our team. In this role, you will contribute to product development, gain hands-on exposure to specified technology stack, and play an active part in mentoring and training newly onboarded college graduates. You will work closely with experienced engineers and trainers of the organization to understand the organization's products, domain requirements, and deliver assignments that reinforce practical learning. This position is ideal for candidates with a genuine passion for technology, strong communication skills, and the drive to continually expand their technical expertise by mentoring newly onboarded college graduates.

    Key Responsibilities

    Product & Domain Immersion

    • Collaborate with product owners and senior developers/trainers to understand tech stack requirement and domain-specific workflows.
    • Analyse existing system architecture, feature sets to grasp the end-to-end product lifecycle.

    Assignment Solutioning

    • Break down domain‐focused assignments into clear, step-by-step implementation plans.
    • Implement the high-quality, well-documented solution code for assigned tasks and plan the training materials for same.
    • Demonstrate problem-solving using one or more of the following technologies:
    • Databases: PostgreSQL, MS SQL Server, NoSQL (MongoDB/Cassandra)
    • Back-end Languages & Frameworks: Python (with basic ML pipelines), Java, GoLang, C# (.NET, Blazor)
    • Front-end: ReactJS
    • Big Data & Messaging: HDFS, Apache Kafka, RabbitMQ, MQTT, DLMS
    • Data Analytics: Basic ETL, data‐wrangling, and visualization techniques

    Mentoring & Technical Training

    • Develop comprehensive training materials (slide decks, code samples, lab exercises) aligned to each technology domain.
    • Helping in the hands-on training for new hires (fresh college graduates), ensuring a smooth onboarding experience.
    • Provide technical guidance, one-on-one code walkthroughs, and constructive feedback.
    • Track trainee progress through quizzes, project milestones, and regular check-ins.

    Documentation & Knowledge Sharing

    • Maintain up-to-date system documentation, architecture diagrams, API specs, and onboarding checklists.
    • Publish "How-To" guides or internal wiki articles covering frequently encountered challenges and solutions.
    • Organize periodic "Tech Talks" or brown-bag sessions to introduce new tools, frameworks, and industry best practices.

    Qualifications & Skills

    Educational Background

    • Bachelor's degree in Computer Science, Information Technology, MCA, Electronics & Communication or a related field (or equivalent practical experience).
    • 0–3 years of professional experience

    Technical Proficiencies

    Candidates should be familiar with some or most of the following (strong fundamentals in at least three areas are expected):

    Database & Data Storage

    Relational: PostgreSQL, MS SQL Server

    NoSQL: MongoDB, Cassandra, or equivalent

    Basic data modeling, ETL concepts, and query optimization

    Programming Languages & Frameworks

    Python & ML Basics: Scripting, data‐processing (Pandas), introduction to supervised/un supervised learning

    Java: Core concepts, RESTful API development, dependency management (Maven/Gradle)

    • GoLang: Go modules, concurrency (goroutines, channels), building simple microservices
    • C#/.NET Core & Blazor: .NET fundamentals, Razor/Blazor components, dependency injection, entity framework basics

    Front-end Development

    • ReactJS: Components, state management (hooks), JSX, functional programming paradigms
    • Familiarity with modern JavaScript/TypeScript syntax and build tooling (npm, webpack, Babel)

    Big Data & Messaging

    • HDFS: Core HDFS commands, shell scripting (Bash), basic understanding of distributed file systems
    • Apache Kafka & RabbitMQ: Producer/consumer patterns, topic/queue management, message serialization (JSON/Avro)
    • MQTT: Lightweight messaging for IoT use-cases, broker setup (Eclipse Mosquitto or similar)
    • DLMS (Device Language Message Specification): High-level overview, when/how it fits into smart metering or IoT stacks

    Data Analytics (Foundational)

    • Data wrangling using Python (Pandas, NumPy)
    • Basic visualization (Matplotlib) and exploratory data analysis
    • Awareness of data pipelines (batch vs. streaming)

    DevOps & Tooling (Basic Awareness)

    • Version control with Git (branching strategies, pull requests)
    • CI/CD pipelines (Jenkins/GitLab CI) – basic build/test/deploy workflows
    • Containerization awareness (Docker fundamentals)

    Soft Skills & Personal Attributes

    • Communication & Presentation: Clear, concise English (verbal and written); ability to translate complex technical concepts into understandable segments for trainees.
    • Collaboration & Teamwork: Comfortable working in an Agile development environment; proactive in asking questions and offering solutions.
    • Problem-Solving Attitude: Analytical mindset with attention to detail; resourceful when researching new topics.
    • Passion for Learning: Genuine curiosity about emerging technologies; willingness to rapidly upskill in unfamiliar tools or languages.
    • Mentorship Aptitude: Empathetic, patient, and approachable when guiding fresh graduates; ability to break down complex problems into simple, digestible steps.

    Preferred Qualifications (Nice to Have)

    • Academic projects or internships involving at least two of the following: Python/ML pipelines, a Java- or GoLang-based microservice, or a C#/.NET Core web application.
    • Exposure to live big-data environments (Hadoop ecosystem, Spark) or basic experience configuring Kafka or RabbitMQ clusters.
    • Experience presenting in college seminars or internal "lunch & learn" sessions.
    • Basic familiarity with cloud platforms (AWS, Azure, or GCP) for deploying simple environments (EC2, S3, or Azure App Service).
    • Certification in any of the relevant domains (e.g., Oracle Certified Associate – Java, Microsoft Certified: Azure Developer Associate).

    Join Us:

    Salary: ₹3 to ₹7 LPA

    Please note: If you're familiar with any one of the listed technologies, we encourage you to apply for the position.


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