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Data Engineer
NexaQ
posted 5mon ago
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Key skills for the job
Job Description
- 2-4 Years of Experience in developing, designing Enterprise Data Lake, Data bricks, Data Analytics Business Intelligence Solutions
- Strong Experience AWS/Azure Data Lake preferably using Data bricks (PySpark) AWS Glue.
- Strong experience in Apache Spark Python Coding.
- Knowledge of Lakehouse using Data bricks would be added advantage
- 2+ years of Experience on data integration connecting to SAP, DW using Apache Spark, EMR, Glue, Scala and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems.
- Demonstrated skill and ability in the development of data warehouse, data lake projects/applications (AWS Redshift/Oracle/SQL Server)Strong real-life experience in PYTHON development especially in PySpark in AWS Cloud environment.
- Working experience in a DevOps environment, data integration and data pipeline development.
- Experience with source control systems such as Git, Bitbucket, and Jenkins s build and continuous integration tools.
- Knowledge of extract development against ERPs SAP, Siebel, JDE BAAN preferred
- Exposure to AWS Data Lake, AWS Lambda, AWS S3, Kafka, Redshift, Sage Maker would be added advantage
- Experience utilizing Power BI, Tableau or AWS Quick sight would be added advantage
- Functional Knowledge in the areas of Sales Distribution, Material Management, Finance and Production Planning is preferred
- Experience in Informatica Power Center will be added advantage.
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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