6-15 Years of in Big Data & Data related technology experience

Roles and Responsibilities :

• Design, develop, test, deploy and maintain large-scale data pipelines using Azure Data Factory (ADF) to integrate various data sources into a centralized platform.
• Collaborate with cross-functional teams to gather requirements for data processing needs and design solutions that meet business objectives.
• Develop complex SQL queries to extract insights from large datasets stored in Azure Databricks.
• Troubleshoot issues related to ADF pipeline failures and optimize performance for improved efficiency.

Job Requirements :

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