Senior Data Engineer
3 weeks ago
Job Role:
As a Senior Data Engineer in our client's team, you will be responsible for assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. You also will develop and support the implementation and integration of these new data sources into our Azure Data platform.
Responsibilities:
- You are required to do detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness, and business value.
- You are required to design, document, develop, implement, and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
- You are required to participate in early state design and feature definition activities.
- Responsible for implementing robust data pipeline using Microsoft Azure toolset that includes Databricks stack.
- Responsible for creating reusable and scalable data pipelines .
- Define, plan, develop and implement optimal SAP BW applications across multiple complex projects and solutions that fits the existing architecture strategy.
- SAP Business Warehouse (SAP BW ) hands-on design, development, and implementation experience with deep skills in extraction, modeling, and reporting.
- Convert of Business requirements to TSDs and FSDs.
- Develop and build BW-BO Webi report : Business Warehouse (SAP BW) and Business Objects (SAP BO )
- Support on regular reporting queries and other developers on Alteryx, Tableau, PowerBI and Azure.
- You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
Skills:
- Advanced working knowledge and experience with relational and non-relational databases
- Experience building and optimizing Big Data pipelines, architectures , and data sets
- Strong analytic skills related to working with unstructured datasets
- Expertise in Azure Data Factory (ADF ), Azure Databricks (ADB ), Eventhub, Python, PySpark, Azure Synapse and SQL.
- Azure Devops experience mandatory to deploy the ADF pipelines.
- Advance knowledge of SAP BI/BO.
- Expertise on LIS based extractions.
- Expertise on Finance extractions.
- Working knowledge of SD, MM, FI and WM modules.
- Knowledge of SAP IS-Auto, Alteryx, Tableau, PowerBI will be considered as added advantage.
- Basic knowledge of ABAP programming.
Qualifications and Experience:
- 10+ years of experience in the SAP Analytics and MS Azure domains with minimum 8 years of relevant experience.
- Minimum 3 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.
- Minimum 4 years implementation experience in SAP BW/BO tool sets, upgrade/migration experience will be considered as added advantage.
- Automotive domain experience is must.
- Bachelor’s degree in Computers or allied field of study.
- Certification on SAP Analytics/Azure platform toolsets will be considered as added advantage.
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