Data Engineer I
Axis Max Life Insurance (company site, opens in a new tab)RemoteDirect career pageEst. 12–20 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own development and maintenance of scalable large-scale data pipelines handling multi-source large datasets with batch and real-time processing.
- Optimize performance and ensure scalability, reliability, and cost efficiency of data processing jobs and overall technology solutions on AWS cloud.
- Collaborate with cross-functional teams including DevOps, data scientists, analysts, and business stakeholders to support data-driven decision-making and advanced analytics.
Minimum Requirements
- Hands-on experience with AWS data services (S3, Lambda, EMR, Glue, Redshift, RDS/Postgres, Athena).
- Proficiency in Python, PySpark, SQL/PLSQL for data pipeline development and ETL processes.
- Experience with distributed computing platforms such as Spark and Kafka for batch and real-time data processing.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in cloud-native data engineering with expertise in AWS ecosystem and modern data stack including data modeling and data warehousing.
- Operational focus on performance optimization, cost control, and delivery of scalable data infrastructure.
- Collaborative working style interfacing with business users, DevOps, and analytics teams to align data solutions with business objectives.