Data Engineer
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Job Location:
Bengaluru Urban - India
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary: The Data Engineer will be responsible for leveraging the data platform to create data
products for business. This role involves the development of data products data pipelines data
transformation data cleansing data normalization deployment & support for various functions within EGIS.
Technologies: Azure Data Bricks Azure DevOps Azure ADO Gitlab Github & Snow
Key Responsibilities:
Plan design and execute tenant-to-tenant migrations in Azure without any disruption to business
operations.
Conduct detailed discovery and assessment of external Azure tenants (source) to understand
current configurations services and dependencies.
Design and develop automated data injestion pipeline which fetch data from legacy ERP systems
Ability to build the transformation logic based on business & regional team need
Ability to conduct pre & post automated data validation check
Optimize the workflow execution and implement parallel processing to handle high data volume
Address and resolve data issues including failures in ETL pipelines system performance problems
and data inconsistencies
Propose solution to automate & optimise the process
Proficiency in data mapping and data governance between Legacy system & Oracle ERP Cloud
FBDI
Propose & implement best practices for data injestion & data transformation
Qualifications:
Bachelor's degree in B.E in Computer Science Data Management or a related field.
Proficiency in coding skill such as Python Pyspark & Azure SQL
Proficiency in Oracle ERP Cloud FBDI
Strong business analysis & communication skills
Strong understanding of data management automation & optimization.
Excellent analytical troubleshooting and problem-solving skills.
products for business. This role involves the development of data products data pipelines data
transformation data cleansing data normalization deployment & support for various functions within EGIS.
Technologies: Azure Data Bricks Azure DevOps Azure ADO Gitlab Github & Snow
Key Responsibilities:
Plan design and execute tenant-to-tenant migrations in Azure without any disruption to business
operations.
Conduct detailed discovery and assessment of external Azure tenants (source) to understand
current configurations services and dependencies.
Design and develop automated data injestion pipeline which fetch data from legacy ERP systems
Ability to build the transformation logic based on business & regional team need
Ability to conduct pre & post automated data validation check
Optimize the workflow execution and implement parallel processing to handle high data volume
Address and resolve data issues including failures in ETL pipelines system performance problems
and data inconsistencies
Propose solution to automate & optimise the process
Proficiency in data mapping and data governance between Legacy system & Oracle ERP Cloud
FBDI
Propose & implement best practices for data injestion & data transformation
Qualifications:
Bachelor's degree in B.E in Computer Science Data Management or a related field.
Proficiency in coding skill such as Python Pyspark & Azure SQL
Proficiency in Oracle ERP Cloud FBDI
Strong business analysis & communication skills
Strong understanding of data management automation & optimization.
Excellent analytical troubleshooting and problem-solving skills.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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