Data Engineer
LPL Financial (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable, secure, and high-performance distributed data pipelines on AWS for batch and event-driven processing.
- Implement and operate data solutions ensuring reliability, data quality, lineage, monitoring, and orchestration workflows.
- Collaborate with architects, platform teams, and business stakeholders to deliver cloud-native data services using Python, Spark, Docker, and Kubernetes.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Minimum 4 years of experience in data engineering or distributed systems development.
- Strong hands-on experience with AWS services including Glue, Lambda, Step Functions, EventBridge, S3, Athena, RDS Aurora PostgreSQL.
- Advanced proficiency in Python plus hands-on experience with Apache Spark and building event-driven data pipelines.
Ideal Candidate Profile
- Experienced in designing distributed data processing architectures emphasizing fault tolerance and scalability.
- Skilled in managing data quality, lineage, orchestration, and monitoring for reliable data pipelines.
- Operational knowledge of containerization (Docker) and orchestration (Kubernetes) in cloud-native environments.