Superseva - Data Engineer - Snowflake DB
3 days ago
Role Overview :
We are seeking a highly experienced Senior Data Engineer to lead the design, implementation, and optimization of application data stores using PostgreSQL, DynamoDB, and advanced SQL. You will play a critical role in building scalable, performant, and secure data infrastructure to support business-critical applications.
Job Description :
- Proven expertise in building batch and streaming data pipelines using Databricks (PySpark) and Snowflake.
- Strong programming skills in SQL, Python, and PySpark for scalable data processing.
- In-depth knowledge of Azure and AWS data ecosystems, including Microsoft Fabric and distributed computing frameworks.
- Proficient in processing structured (CSV, SQL), semi-structured (JSON, XML), and unstructured (PDF, logs) data.
- Experience with designing low-latency, high-throughput pipelines using Spark and cloud-native tools.
- Solid understanding of CI/CD, automation, schema versioning, and data security in production environments.
Nice to Have :
- Experience with caching layers like Redis or Memcached.
- Knowledge of data security, encryption, and compliance standards (GDPR, HIPAA).
- Exposure to CI/CD pipelines involving DB migrations and automation tools like Flyway or Liquibase.
- Understanding of event-driven architecture or stream processing (Kafka, Kinesis).
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