Data Engineer

<h1>Data Engineer</h1><p><strong>Department: </strong>Global Analytics and Technology</p><p><strong>Employment Type: </strong>Permanent - Full Time</p><p><strong>Location: </strong>India</p><br><br><h3>Description</h3><div>
<strong>Job location: </strong>Remote in India<strong><br><br>About the role:<br></strong>We are seeking a Data Engineer with expertise in data infrastructure, pipeline development, and scalable data solutions to play a pivotal role in enabling data-informed decision-making across the organization. The successful candidate will have a deep knowledge of data architecture and engineering best practices and will work closely with cross-functional teams to ensure data is accurate, reliable, and accessible. This role requires strong technical skills, a solid grasp of business needs, and the ability to bridge the gap between raw data and actionable insights through robust engineering solutions.</div><br><br><h3>What you will be expected to do:</h3><ul>
<li>Design and implement modern ETL/ELT architectures using cloud-based technologies.</li>
<li>Develop and maintain data pipelines to pre-process and load data into databases for BI and application needs.</li>
<li>Administer and manage databases to ensure high performance and availability.</li>
<li>Work with the BI team to optimize the user experience in BI tools by aligning data preprocessing, database schema design, and data modeling.</li>
<li>Monitor and optimize data storage, processing, and serving costs, and proactively suggest cost-effective improvements.</li>
<li>Build data pipelines by integrating with REST APIs.</li>
<li>Design and implement real-time data pipeline architectures for critical workflows.</li>
<li>Develop a robust alerting system to detect and resolve data discrepancies efficiently.</li>
</ul><br><br><h3>You might be a strong candidate if you have/are:</h3><ul>
<li>Bachelor’s degree in Computer Science or a related quantitative field; relevant professional experience may be considered in lieu of formal education.</li>
<li>Minimum 2 years of experience working as a Data Engineer.</li>
<li>Strong proficiency in Python, SQL, Spark, and EC2, with hands-on experience in the AWS ecosystem.</li>
<li>Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift databases is a strong plus.</li>
<li>Detail-oriented with a keen interest in examining data transformations and their impact on business outcomes.</li>
<li>Excellent problem-solving and time management skills.</li>
<li>Flexible and able to work effectively in a fast-paced, dynamic environment.</li>
<li>Prior experience in project or team management is preferred; aptitude for mentoring and assisting others is a plus.</li>
</ul><br><br><h3>What Sun King offers:</h3><ul>
<li>Professional growth in a dynamic, rapidly expanding, high-social-impact industry</li>
<li>An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.</li>
<li>A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.</li>
<li>Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.</li>
</ul>