Data Engineer
Moody's Analytics (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 14–26 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and maintain scalable, fault-tolerant AWS-based data pipelines and ETL/ELT processes supporting business and advanced analytics.
- Develop and optimize data workflows using Python, PySpark, and SQL to ensure performance and reliability.
- Collaborate with data scientists, analysts, and stakeholders to translate data requirements into technical solutions, while ensuring data governance, quality, and security best practices.
Minimum Requirements
- 3+ years of experience developing and managing large-scale data infrastructure and AI applications.
- Proficiency with AWS data services including Redshift, RDS, Glue, EMR, and experience with big data technologies like Apache Spark and Hadoop.
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field; Master's preferred but not mandatory.
- Work Experience Required: 3+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building data infrastructure that supports AI and advanced analytics at scale on AWS cloud.
- Strong technical skills in Python, PySpark, SQL combined with knowledge of data modelling and streaming technologies such as Kafka or AWS Kinesis.
- Capable of cross-functional collaboration to translate complex business data needs into robust engineering solutions and mentoring junior team members.