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Data Software Engineer @ Software Technology

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 Data Software Engineer

Job Description

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,GCP.

15. Ability to lead a team efficiently

16. Experience with designing and implementing Big data solutions

17. Practitioner of AGILE methodology

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Software Technology
Location(s): Hyderabad

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Keyskills:   Data Engineering Big Data Spark Python Hadoop Cassandra Kafka Azure Databricks HBase Hive NoSQL GCP MongoDB AWS

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Software Technology

Software Technology Company that provides software product development, digital platform engineering, and digital product design services globally