Senior Spark Developer (Python AWS SQL)
Must have
- 8 years of experience in data engineering or backend development.
- Hands-on experience with Apache Spark (PySpark) in large-scale data environments.
- Strong proficiency in Python programming.
- Expertise in SQL (including advanced queries performance tuning and optimization).
- Experience working with AWS services such as S3 Glue EMR Lambda Redshift or Kinesis.
- Understanding of data warehousing concepts and ETL best practices.
- Strong problem-solving skills and ability to work in an agile collaborative environment.
- Experience with Databricks or similar Spark-based platforms.
- Knowledge of streaming frameworks (Kafka Flink).
- Familiarity with CI/CD pipelines Docker Kubernetes Terraform.
- Exposure to data modeling (star schema snowflake data vault).
- Experience in financial services/capital markets.
Senior Spark Developer (Python AWS SQL) Must have 8 years of experience in data engineering or backend development. Hands-on experience with Apache Spark (PySpark) in large-scale data environments. Strong proficiency in Python programming. Expertise in SQL (including advanced queries performance t...
Senior Spark Developer (Python AWS SQL)
Must have
- 8 years of experience in data engineering or backend development.
- Hands-on experience with Apache Spark (PySpark) in large-scale data environments.
- Strong proficiency in Python programming.
- Expertise in SQL (including advanced queries performance tuning and optimization).
- Experience working with AWS services such as S3 Glue EMR Lambda Redshift or Kinesis.
- Understanding of data warehousing concepts and ETL best practices.
- Strong problem-solving skills and ability to work in an agile collaborative environment.
- Experience with Databricks or similar Spark-based platforms.
- Knowledge of streaming frameworks (Kafka Flink).
- Familiarity with CI/CD pipelines Docker Kubernetes Terraform.
- Exposure to data modeling (star schema snowflake data vault).
- Experience in financial services/capital markets.
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