Senior Data Engineer

Roles & Responsilbities

• Strong ability to build and maintain reliable and scalable data pipeline using Python or any other ETL tool (Pentaho Data Integration preferred)
• Identify, design, and implement internal process improvements: automating manual processes optimizing data delivery, and re-designing infrastructure for greater scalability.
• Strong SQL Querying skills (MySQL, SQL Server, and MongoDB)
• Strong understanding of Data Warehousing concepts
• Skilled in Data modeling and Dimensional modeling techniques
• Experience with AWS technologies (EC2, RDS, S3, Lambda, Elasticsearch, Athena, etc.)
• Recommend different ways to constantly improve data reliability and quality
• Possess an ability to perform complex data analyses with large data volumes
• Strong understanding & usage of algorithms and data structures.

Nice to Have:

• AWS Redshift knowledge and operational experience
• Hands on experience in real-time Big Data projects using Distributed data pipelines (EMR, Hadoop, Spark)and/or streaming pipeline frameworks (Kinesis, Kafka, Spark)
• Machine Learning expertise
• Experience with analytical or data visualization tools like Tableau

Skills : ETL Tool,Python,SQL,Data Warehousing