29 Nov
Data Engineer III - Senior
Vacancy expired!
job summary:
Senior Data Engineer JD:- Bachelor's degree in CS or related technical field.
- 7+ years of experience in analytics, data development, and data warehousing.
- Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
- Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
- Experience in programming using Python, Java or Scala.
- Experience with data orchestration tools (Airflow, Oozie, Step Functions).
- Solid understanding of database technologies including NoSQL and SQL.
- Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
- strong organizational and multitasking skills with ability to balance competing priorities.
- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
- An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.
- Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue
- Bachelor's degree in CS or related technical field.
- 7+ years of experience in analytics, data development, and data warehousing.
- Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
- Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
- Experience in programming using Python, Java or Scala.
- Experience with data orchestration tools (Airflow, Oozie, Step Functions).
- Solid understanding of database technologies including NoSQL and SQL.
- Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
- Strong organizational and multitasking skills with ability to balance competing priorities.
- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
- An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.
- Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue
- Experience level: Experienced
- Minimum 7 years of experience
- Education: Bachelors (required)
- Hadoop
Vacancy expired!