26 Nov
Data Engineer
Michigan, Jackson , 49201 Jackson USA

Vacancy expired!

Please carefully review the JD. Need profiles that has a combination of SAP BODS/HANA and data engineering/governance, not one or the other. Please thoroughly vet your candidates prior to submittal. Thank you. Looking for a qualified and experienced data engineer to join our Data analytics and Services team of experts. The engineer will be responsible for partnering with various analytics team throughout the enterprise to collect various data requirements and design and built data pipelines/architecture as per IT best practices defined. Start: 01/04/2021 Duration: 6 months extendable Level: Senior Consultant Location: Jackson, MI (local/relocate) Job Responsibilities:

  • Work with Various Stakeholders/IT to design and build efficient data pipelines
  • Build analytic tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Assemble and clean BIG data; complex data sets including various data sources as SAP, Non-SAP(Oracle/SQL, Postgres, Sharepoint), SAP HANA, SAP ECC, SAP BW across various business domains to meet functional insights.
  • Built and design various ETL's using technologies like Python, SAP BODS, SAP HANA, Attunity Replicate, APIs, and Azure data pipelines as per IT standards for Cloud and On-Premise Data Lake and Reporting solutions.
  • Create data visualizations using various tools like Power BI.
  • Assemble large complex data sets to meet functional business requirements.
  • Identify and improve internal process to automate manual data wrangling, optimizing performance, and improve data quality.
Qualifications:
  • Advance Working SQL Knowledge and experience working with various SAP products, SAP HANA, memSQL , Relational Databases as well as familiarity working with various databases.
  • Azure data experience preferred
  • Strong communication & problem-solving skills
  • Minimum 5-year experience building big data pipelines.
  • 7+ years in advance SQL, Python, Power BI, BI tools, must have strong experience working with various business domains.
  • 2+ years of experience working with Utilities and strong business acumen.
  • 3+ year of experience in various ETL tools extracting data using Python, SAP BODS, Attunity Replicate (from SAP ECC and BW & non-SAP sources), and Azure data pipelines.
  • Experience in creating a data warehouse, design-related extraction, loading data functions, testing designs, data modeling, and ensure the smooth running of applications.

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