Data Engineer II
MRSOOL (company site, opens in a new tab)4+ yrsRemoteDirect career pageEst. 14–22 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable batch and real-time data pipelines and cloud-native data platforms using technologies including Maxwell, Kafka, Spark, S3, Trino, BigQuery, and dbt.
- Develop and optimize data models following Medallion Architecture to create reliable, reusable, high-quality datasets powering analytics and business-critical applications.
- Own end-to-end lifecycle of critical data pipelines ensuring high availability, monitoring, SLA adherence, data quality, and proactive incident resolution.
Minimum Requirements
- Minimum 4+ years of hands-on experience designing and building scalable data platforms, data lakes, and data warehouses.
- Strong proficiency in Apache Spark (Scala, Python), SQL, Kafka, CDC/Maxwell, dbt, and experience with cloud platforms such as Amazon S3, BigQuery, and Trino.
- Experience designing dimensional data models, Medallion Architecture implementation, and building data marts for analytics and BI.
- Work Experience Required: 4+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building and optimizing large-scale, distributed data processing systems focusing on performance, reliability, cost efficiency, and observability.
- Comfortable working cross-functionally with Product Managers, Data Analysts, Backend Engineers, and stakeholders to translate business needs into scalable data solutions.
- Skilled in implementing engineering best practices including CI/CD, automation, testing frameworks, and documentation to improve developer productivity and platform reliability.