Hiring Alert | Nissan is Hiring for Senior Data Engineer | Latest Jobs 2024
Skills and Qualifications:
The ideal candidate should have worked on end-to-end data warehousing, data lake solutions in cloud platforms(AWS).
The candidate should have the following skills sets:
Strong data engineering (ETL) experience in cloud preferably in AWS.AWS Certification (developer/Devops/SA) preferred.
Excellent understanding of distributed computing paradigm.
Should have excellent experience in data warehouse and data lake implementation.
Should have excellent experience in Relational databases,ETL design patterns and ETL development.
Should have excellent experience in CICD frameworks and container-based deployments.
Should have excellent programming and SQL skills.
Should have good exposure to No-SQL and Big Data technologies.
Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
Data integration/Engineering - ETL tools like Talend, ETL ,AWS Glue etc. Experience in Talend is a must and Glue ETL is preferable. Experience in talend enterprise edition is good to have.
Data warehouse - Snowflake and or AWS Redshift. Experience in Snowflake cloud DWH would be an advantage.
Data modelling - Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies.
Programming - Java/Python/Scala and SQL.
Data visualization - Tools like Tableau, Quicksight.
Exposure to AWS components like Lambda, EC2 etc.
Master data management (MDM) - Concepts and experience in tools like Informatica & Talend MDM.
Exposure to Big data - Hadoop eco-system, AWS EMR.
Exposure to Big Data processing frameworks - Kinesis, Spark & Spark streaming
Demonstrate strong analytical and problem solving capability
Good understanding of the data eco-system, both current and future data trends.
Should be a go to person for the above technologies
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Tags:
Data Engineer