Data Software Engineer - Spark, Python, (AWS, Kafka or Azure Databricks or GCP)

Job Description:

1. 5-12 Years of in Big Data & Data related technology experience
2. Expert level understanding of distributed computing principles
3. Expert level knowledge and experience in Apache Spark 
4. Hands on programming with Python
5. Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
6. Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
7. Experience with messaging systems, such as Kafka or RabbitMQ
8. Good understanding of Big Data querying tools, such as Hive, and Impala
9. Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
10. Good understanding of SQL queries, joins, stored procedures, relational schemas
11. Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
12. Knowledge of ETL techniques and frameworks
13. Performance tuning of Spark Jobs
14. Experience with native Cloud data services AWS or AZURE Databricks
15. Ability to lead a team efficiently
16. Experience with designing and implementing Big data solutions
17. Practitioner of AGILE methodology