Data Software Engineer - Spark, Python, (AWS Databricks, Azure Databricks)
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
If interested, Send CVs to an***g@ka***********g.com

Keyskills: Data engineer Spark Python Pyspark Azure Cloud AWS Data Bricks
Kanary Staffing, led by Sree Ram Majji, was founded in 2018 in partnership with like-minded professionals in order to give top-notch resources and career possibilities to its two most significant stakeholders, clients and applicants. To establish ourselves as the top provider of recruitment solut...