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Database Engineer Contractor: 3-5 years (Intermediate)

Role overview

Qualifications

  • 2-5 years of Technical Experience in data engineering or closely related development roles
  • Hands-on building and supporting pipelines in Azure Data Factory (ADF) and transformations in Azure Synapse Analytics
  • SAP familiarity preferred
  • Python / ML Experience (preferred)

Responsibilities

  • Ingesting data from the Buyer’s legacy SAP platform into the Azure data lake using Azure Synapse
  • Ingest and model all in-scope legacy analytics datasets to the target platform
  • Maintain required security controls and compliance obligations throughout the migration
  • Deliver the activities within the agreed timeline and effort limits

Key facts

Hard skills

Other skills

  • Troubleshooting (Problem Solving)
  • Collaboration

About the company

Mindlance logo

Mindlance

Staffing & Recruiting

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA’s list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1.What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric staffing across a range of specializations- Technology, Engineering, Scientific, Clinical Research, Digital, Creative, Marketing, Profession, Mindlance provides Managed Recruitment services- RPO and Direct + Diverse Sourcing, and Pay+ Services- EoR/Payroll, IC Compliance and AoR.Mindlance is also generating alternative talent pipelines that prioritize diversity through three Diverse Talent Acceleration offerings: (1) RebootTalent, a diverse returning talent acceleration service (2) Mindlance Diversphere, a private diverse talent pool aggregated from a network of diversity partnerships and (3) Quintrix Solutions, an upskilling recruit-train-deploy service.With a year-over-year growth rate of 20% and an annual revenue of over $400 million and growing, the Mindlance story is one of calculable achievement, made meaningful by the commitment to grow a mindful way that creates balance in the work and societal ecosystem.Visit www.mindlance.com to learn more about us and our latest job openings.STAFFING INDUSTRY ANALYSTS RECOGNITIONS:Fastest Growing U.S. Staffing Firms (2022, 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011)Largest U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest Diversity-Owned U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015)Largest IT Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)Largest Clinical & Scientific Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)

Company details

Company typeLarge
IndustryStaffing & Recruiting
Company size1001 - 5000

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Job description

This role includes providing 1 Azure Data Engineer to work under client's direction to perform the required technical duties for the data engineering work. Examples of such work and objectives that will be executed by the Azure Data Engineer include: - Ingesting data from the Buyer’s legacy SAP platform into the Azure data lake using Azure Synapse - Ingest and model all in-scope legacy analytics datasets to the target platform, including required metadata, available lineage, and documented business rules, while preserving data integrity and maximizing data quality as verified through agreed validation, reconciliation, and acceptance testing demonstrating that the migrated data is complete, accurate, and consistent with the source. - Ingest, structure and organize data within Synapse to support the performance, scalability, retention, and query requirements for the defined use cases - Maintain required security controls and compliance obligations throughout the migration, including protection of sensitive data and restricted access where applicable. - Deliver the activities within the agreed timeline and effort limits, with risks/issues surfaced early and managed through a defined governance process.

• 2-5 years of Technical Experience in data engineering or closely related development roles.
• Hands-on building and supporting pipelines in Azure Data Factory (ADF) and transformations in Azure Synapse Analytics (Synapse workspace, dedicated SQL pools vs. serverless SQL, integration pipelines, Synapse Studio usage)
• Implements data models (e.g., star schemas, SCD patterns) from established standards; documents datasets.
• Basic data quality checks and troubleshooting; collaborates with senior engineers for root-cause analysis.
• SAP familiarity preferred (can interpret SAP-sourced fields/keys; works with BW/functional partners), including SAP BW Concepts: Data models (InfoCubes, DSOs, CompositeProviders), extraction mechanisms (Open Hub, ODP), BW Queries
• SAP data familiarity – Supply chain, Ops,
• Python / ML Experience (preferred)
• ETL tool experience: SAP Data Services, Azure Data Factory (ADF), or 3rd-party connectors like Theobald Xtract or SDI.
• SQL
• Understanding of Both Source and Target Platforms

Please note:
1. This role is with an aerospace and defense contractor. Applicants will have to go through thorough vetting and identity verification prior to being considered for the role, including providing references from other companies they have worked with that can be contacted to assist in vetting
2. Contractors will have to appear in person at a Client office location prior to onboarding with the client
3. There will be mandatory camera on meetings throughout the project with zero tolerance for repeated noncompliance


EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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