Data Engineer

Sun King

full-time

Posted on: 8/30/2025

Location: 🇮🇳 India

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JuniorMid-Level

AirflowAmazon RedshiftAWSCloudEC2ETLNoSQLPySparkPythonSparkSQL

About the role

Design and implement modern ETL/ELT architectures using cloud-based technologies.
Develop and maintain data pipelines to pre-process and load data into databases for BI and application needs.
Administer and manage databases to ensure high performance and availability.
Work with the BI team to optimize the user experience in BI tools by aligning data preprocessing, database schema design, and data modeling.
Monitor and optimize data storage, processing, and serving costs, and proactively suggest cost-effective improvements.
Build data pipelines by integrating with REST APIs.
Design and implement real-time data pipeline architectures for critical workflows.
Develop a robust alerting system to detect and resolve data discrepancies efficiently.

Bachelor’s degree in Computer Science or a related quantitative field; relevant professional experience may be considered in lieu of formal education.
Minimum 2 years of experience working as a Data Engineer.
Strong proficiency in Python, SQL, Spark, and EC2, with hands-on experience in the AWS ecosystem.
Practical experience with PySpark Glue jobs, Lambda functions, NoSQL databases, job orchestration using Airflow, and/or managing Redshift databases is a strong plus.
Detail-oriented with a keen interest in examining data transformations and their impact on business outcomes.
Excellent problem-solving and time management skills.
Flexible and able to work effectively in a fast-paced, dynamic environment.
Prior experience in project or team management is preferred; aptitude for mentoring and assisting others is a plus.