Datastage/ Python developer (1148872)

Location: Columbus, OH

Salary: Depends on Experience

Description

Job Description:

• Develop Shell scripts for automation of the data flow process and ETL orchestration pipeline.
• Implement ETL transformations using DataStage, Hadoop Big data technologies like Spark-Scala/Spark-Java, Hive, or Pig based on the business use case.
• Develop One-time/On-demand data Extractions from the data marts in the database systems for the business users for analytical purposes.
• Direct Podium for end-to-end data management.
• Develop automation and ETL jobs to schedule data processing utilities using reusable ETL components and frameworks of the data pipelines.
• Implement Data profiling, Data quality, and Data standardization for all the workflows based on EDM standards (Enterprise Data Management).
• Build Hadoop Data Lake for analytics using Hadoop echo system.
• Migrate tables from traditional RDBMS into Data Lake using Sqoop.
• Transfer real-time data from different data sources into HDFS systems using Kafka producers, consumers, and Kafka brokers.
• Use cloud-native development, micro-services architecture, operations, and governance framework to gather required technical data for purposes of formulating recommended customization of AWS.
• Perform Unit and regression testing, prepare unit test case documents for comparing the results with business requirements.
• Ensure the technical implementations are in line with the requirements and specifications.
• Help Quality Analyst Team in preparing a comprehensive test plan to ensure proper functioning of the application for the zero-defect delivery for the continuous integration and deployment to the production.
• Prepare Technical Specification documents that explain the technical solutions and list the technologies to be used while implementing the solution.
• Prepare data models to be certain that the data objects are represented accurately by the ETL and Data engineering software and application tools.
• Participate in business requirement meetings, perform requirement, and impact analysis with Business Analysts.
• Coordinate with business users to understand the data sources/entities.
• Design the on-prem or cloud data warehousing models using ETL tools such as IBM Infosphere Data Stage, Oracle, Python, and cloud platforms such as Snowflake and AWS (Amazon Web Services)
• Create Technical design documents as part of project deliverables.
• Analyse Teradata databases to design extract strategies into Big data and cloud platforms.
• These duties are complex and require at least a bachelor’s degree in computer science or a related field.

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