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Data Engineer with Snowflake, AWS Glue, Kafka, API
4 weeks ago
- 6+ years of experience in Data Engineering or related role.
- Hands-on experience with Snowflake (data modelling, performance tuning, query optimization, Snowpipe, Time Travel, Streams & Tasks).
- Strong expertise in AWS Glue for ETL job development, orchestration, and optimization.
- Proficiency with AWS services such as S3, Lambda, Redshift, Athena, Step Functions, Kinesis, and CloudWatch.
- Strong programming skills in Python and/or PySpark.
- Knowledge of SQL and experience with performance tuning for large datasets.
- Experience with data warehouse and data lake architectures.
- Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation).
Preferred Qualifications:
- AWS Certified Solutions Architect / Data Analytics Specialty certification.
- Experience integrating Snowflake with third-party tools like Tableau or Power BI
- Experience with streaming data ingestion using Kinesis or Kafka.
- Familiarity with containerization (Docker, ECS, EKS).
