Software Engineer - Data Practice





Development | 3-15 Years


Responsibilities: Modify and manage existing Software Processes to correct errors, to adapt it to new designs, or to upgrade interfaces and improve performance. Manage application projects and/or system activities along with developing test routines or procedures to Perform Testing / Quality assurance activities to ensure that the software continues to function normally through software maintenance and testing. Maintain, troubleshoot, optimize and improve existing applications and systems Provide solution designs based on strategic direction and business needs. Plan, Design and implement Proof of Concepts (POC) and Proof of Technology (POT) for the new technologies to determine and recommend modifications to existing systems. Produce technical documentation in accordance with SDLC guidelines, Communicate with technical and non-technical groups on a regular basis as part of product firmware releases around the POC / POT for various customer engagements. Participate in Quality Assurance activities to develop test strategies and to validate test plans for Integration projects along with developing test routines and procedures to perform Testing/Quality Assurance activities to ensure that the software continues to function normally through software maintenance and testing.

Skills Required: Be a part of the Center of Excellence / BPIC responsible for the Business Solutions development related to Data Practice/Big Data and ETL Development and Support, Managed Services & Technical Sales Activities. Create technical design documents by analyzing functional specification documents that are required for ETL development. Work on ETL (Extract Transform Load) activities Extracting the data from databases such as Microsoft SQL Server, Teradata and Oracle 11g/10g. Perform required transformation using tools such as IBM Infosphere Datastage Load the data back in Backend Systems such as SAP System tables. Work on Big Data and Data Architecture such as Laying out the Data Lake strategy compatible with Apache HDFS that works with the Hadoop ecosystem. Work on Business Intelligence (BI) Development using Microsoft PowerBI, SSIS, SSRS and reporting using Tableau and Cognos. Locations: - Novi MI /Atlanta, GA //Cincinnati, OH/Bentonville, AR

USA-Michigan

February 11 , 2019

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