Lead Software Engineer - Java/Python, AWS, Spark
INR 2500K-4200K (estimate) Senior-level Full Time
Tasks
- Adopt AI assisted engineering practices to improve code quality and delivery
- Architect and refine data models for large scale datasets
- Author review and approve technical requirements and architecture
- Define and execute enterprise data strategy
- Drive data quality initiatives and data accessibility for analytics
- Ensure data governance and regulatory compliance
- Establish secure coding peer review and automated testing standards
- Improve data infrastructure processing workflows and analytics capabilities
- Lead design development maintenance of cloud data processing pipelines
- Lead process re engineering for cost effective solutions
- Manage end to end data infrastructure
- Support incident root cause analysis and troubleshooting
- Translate business requirements into scalable data engineering solutions
- Use software development lifecycle toolchain for automation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS Data | AWS Data Lake | Airflow | Amazon Web Services | Apache Avro | Apache Iceberg | Apache Kafka | Apache Spark | Automated testing | Behavior-Driven Development | CI/CD | Continuous Deployment | Continuous integration | Data Governance | Data Integrity | Data Lake | Data Modeling | Data Quality | Data Serialization | Data Vault | Databricks | Dimensional Modeling | Docker | Hadoop | Infrastructure as Code | Inmon | JSON | Java | Kimball | Kubernetes | Machine Learning | Microservices | NoSQL Databases | Parquet | Peer review | Protocol Buffers | Python | Relational databases | SQL | Scala | Secure Coding | Serverless computing | Snowflake | Spark SQL | Spinnaker | Terraform | Test-Driven | Test-Driven Development | Web Services | “as-code”
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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