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<h5><b>Job Title – Jr Data Engineer</b></h5>
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<h5><b>Role Overview</b></h5>
<p>
The Jr Data Engineer will work within the Information Technology (IT) department, contributing to data-driven decision-making processes across any domain. This role is strategic in ensuring the efficient handling, processing, and visualization of data to support business objectives. The candidate will assist in building and maintaining data pipelines, performing data analysis, and creating visualizations to provide actionable insights. This position is ideal for individuals with 0-1 years of experience who are eager to learn and grow in the field of data engineering while contributing to the organization's success.
</p>
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<h5><b>Job Responsibilities</b></h5>
<ol>
    <li>Assist in designing, developing, and maintaining data pipelines to ensure seamless data flow and integration.</li>
    <li>Perform data cleaning, transformation, and validation to ensure data accuracy and reliability.</li>
    <li>Support the creation of data visualizations and dashboards to communicate insights effectively to stakeholders.</li>
    <li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.</li>
    <li>Write reusable and modular code to automate data processing tasks.</li>
    <li>Document processes, workflows, and technical specifications for future reference.</li>
    <li>Demonstrate strong problem-solving skills to address data-related challenges effectively.</li>
    <li>Exhibit excellent communication skills to articulate technical concepts to non-technical stakeholders.</li>
    <li>Show a proactive attitude towards learning new tools and technologies in the data engineering domain.</li>
    <li>Maintain a high level of attention to detail and accuracy in all tasks.</li>
</ol>
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<h5><b>Skills & Knowledge</b></h5>
<ol>
    <li><b>Mandatory Skills</b>
        <ol>
            <li><b>Python:</b> Proficiency in data manipulation using Pandas, data visualization using Matplotlib/Seaborn, basic understanding of NumPy, writing reusable and modular code, and familiarity with Jupyter Notebook.</li>
            <li><b>MySQL:</b> Ability to write basic SQL queries (SELECT, INSERT, UPDATE, DELETE), understanding of JOIN operations, basic database schema design, data filtering and aggregation, and familiarity with MySQL Workbench.</li>
            <li><b>Power BI (Business Intelligence):</b> Experience in creating basic dashboards, data import and transformation, understanding DAX basics, visualization customization, and connecting to multiple data sources.</li>
            <li><b>Excel:</b> Skills in data cleaning and formatting, basic formulas and functions (e.g., VLOOKUP, IF, SUMIF), pivot tables and charts, conditional formatting, and data validation.</li>
        </ol>
    </li>
</ol>
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<h5><b>Career Roadmap</b></h5>
<p>
The Jr Data Engineer role offers a structured growth path over three years, enabling the candidate to develop technical expertise, take on increased responsibilities, and prepare for senior roles in data engineering.
</p>
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<h5><b>0 to 1 Year</b></h5>
<p>During the first year, the candidate is expected to build foundational skills and contribute to key deliverables.</p>
<ol>
    <li><b>Key Responsibilities and KRAs:</b>
        <ol>
            <li>Develop a strong understanding of data pipelines and workflows.</li>
            <li>Assist in creating dashboards and visualizations for business insights.</li>
            <li>Ensure data accuracy and reliability through cleaning and validation processes.</li>
            <li>Collaborate with team members to support ongoing projects.</li>
        </ol>
    </li>
    <li><b>Success Indicator:</b>
        <ol>
            <li>Timely delivery of assigned tasks with high accuracy.</li>
            <li>Positive feedback from team members and stakeholders.</li>
        </ol>
    </li>
</ol>
</br>

<h5><b>1 to 2 Years</b></h5>
<p>In the second year, the candidate is expected to take on more responsibilities and demonstrate leadership in their tasks.</p>
<ol>
    <li><b>Key Responsibilities and KRAs:</b>
        <ol>
            <li>Lead small projects or modules within larger initiatives.</li>
            <li>Optimize existing data pipelines for better performance.</li>
            <li>Mentor new team members on basic data engineering tasks.</li>
            <li>Contribute to the development of best practices and documentation.</li>
        </ol>
    </li>
    <li><b>Success Indicator:</b>
        <ol>
            <li>Successful completion of projects with measurable impact.</li>
            <li>Recognition as a reliable team member and emerging leader.</li>
        </ol>
    </li>
</ol>
</br>

<h5><b>2 Years and above</b></h5>
<p>Beyond two years, the candidate is expected to evolve into a senior role, driving strategic initiatives and mentoring junior team members.</p>
<ol>
    <li><b>Key Responsibilities and KRAs:</b>
        <ol>
            <li>Design and implement complex data solutions to address business challenges.</li>
            <li>Lead cross-functional teams in delivering high-impact projects.</li>
            <li>Develop innovative approaches to data processing and analysis.</li>
            <li>Act as a subject matter expert in data engineering practices.</li>
        </ol>
    </li>
    <li><b>Success Indicator:</b>
        <ol>
            <li>Demonstrated ability to influence business decisions through data insights.</li>
            <li>Promotion to a senior role, such as Data Engineer or Data Scientist.</li>
        </ol>
    </li>
</ol>
</br>

<h5><b>Experience</b></h5>
<ol>
    <li><b>Years of experience:</b> 0 to 1 year of relevant experience in data engineering or related fields.</li>
    <li><b>Education qualification:</b> Bachelor of Engineering (BE) or equivalent in Computer Science, Information Technology, or related disciplines.</li>
</ol>
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<p style="font-size: 0.75rem; color: gray;">
<b>Equal Opportunity Employer Statement:</b> We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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