<ul>
<li style="text-align:start;">As an Engineering Manager on the FinTech Data Engineering team, you will:</li>
</ul>

<ul>
<li style="text-align:start;">Lead a high-performing engineering team in designing, implementing, and scaling data solutions that drive analytics, reporting, and business insights.</li>
</ul>

<ul>
<li style="text-align:start;">Provide technical leadership in architecting, building, testing, releasing, and monitoring data pipelines, models, and workflows</li>
</ul>

<ul>
<li style="text-align:start;">Work closely with product managers, data scientists, ML engineers, and other stakeholders to define the vision and roadmap for core services analytics and data products.</li>
</ul>

<ul>
<li style="text-align:start;">Identify strategically important problems, inefficiencies, or opportunities for meaningful improvement, and drive alignment across teams to deliver high-impact solutions.</li>
</ul>

<ul>
<li style="text-align:start;">Promote a culture of continuous improvement and engineering excellence, including best practices in coding, design, documentation, testing, monitoring, and deployment of next-generation fintech systems.</li>
</ul>

<ul>
<li style="text-align:start;">Serve as a role model by demonstrating good judgment, responsibility, and accountability; guide the team in effective project planning, execution, and prioritization.</li>
</ul>

<ul>
<li style="text-align:start;">Mentor and develop engineers, fostering a collaborative, inclusive, and high-performance culture, while helping teams navigate differences of opinion and reach consensus effectively.</li>
</ul>

<ul>
<li style="text-align:start;">Actively identify and solve engineering and business challenges with autonomy, ensuring delivery of high-quality, scalable, and reliable data products on time and within scope.</li>
</ul>

Basic Qualifications

<ul>
<li style="text-align:start;">Proven experience as a Software Engineering Manager, leading high-performing teams in designing, building, and delivering critical data solutions at scale.</li>
</ul>

<ul>
<li style="text-align:start;">Extensive experience managing and mentoring engineers, fostering a collaborative and inclusive team culture.</li>
</ul>

<ul>
<li style="text-align:start;">Strong leadership and communication skills, with the ability to align diverse stakeholders and drive adoption of data solutions.</li>
</ul>

<ul>
<li style="text-align:start;">Demonstrated ability to work with product management and business partners to define vision, roadmap, and delivery priorities for analytics, reporting, and data platforms.</li>
</ul>

<ul>
<li style="text-align:start;">Deep technical expertise in distributed data systems, including ETL, logging, storage, data quality, and monitoring.</li>
</ul>

<ul>
<li style="text-align:start;">Proven track record of delivering high-quality data products on time and within scope, while driving engineering best practices across the team.</li>
</ul>

<ul>
<li style="text-align:start;">Passionate about coaching and developing engineers, creating an environment that fosters learning, accountability, and innovation.</li>
</ul>

<ul>
<li style="text-align:start;">Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. </li>
</ul>

Data Engineering in Hyderabad (UID-12655)

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Job Description for Data Engineering

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