Barton Technologies Difference

Barton Technologies is a certified woman-owned results-oriented recruiting solutions and staffing company. We are the representative of choice for top professionals because we understand what motivates great people. We take an active role in your career and our concerns are long-term. We have an extensive support system and make the commitment to making the right match between you and a company. We are proud of our retention rate: over 90% of our consultants choose to work again with Barton Technologies.

Barton Technologies is founded on the core values of accountability, family, passion, trust and value. Barton Technologies offers all consultants comprehensive medical, dental and vision programs. We also offer direct deposit and a $1,500/year education and professional certification fund.

Barton Technologies does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, sexual orientation, disability, age, veteran or military status, retaliation, or other characteristic protected by law.

Only qualified individuals being considered will be contacted

Requirements

  • Discover data quality profiles; define and implement data quality rules in tools similar to Informatica data quality, SQL, Python, Pyspark.
  • Integrate source applications with consuming data warehouse using ETL tools like Informatica power center, Azure data factory, AWS Glue, and Oracle golden gate.
  • Catalog business terms and technical metadata from applications across metadata hubs onpremise and on the cloud like AWS glue, and Azure purview.
  • Implement and maintain the Informatica enterprise data catalog and apply new technology patches as well as drive adoption with data analysts.
  • Manage and Govern big data ingestion and storage in the on-premise data platform like Cloud Era Platform (CDP) and in Azure ADLS2, for streaming as well as batch data from source applications.
  • Scan application databases, ingest metadata, discover data domains through automation, and classify them for privacy and security to create entitlements for data consumers
  • Automate central data operations through workload scheduling, issue management, and observability implementation in Informatica Power center, SAS, Talend, and Azure data factory.
  • Engineer solutions for data warehousing to ensure that data is stored and re-used with efficiency in data marts, to run data science and analytical models
  • Implement data fabric using Informatica data catalog, Collibra, Axon, and Informatica Intelligent Cloud Services across priority business domains
  • Develop artificial intelligence models using Python, Pyspark on Jupyter, for use-cases like personalization, credit scoring, pricing etc.
  • Implemented Master data & Reference data management solutions using IBM Infosphere and Informatica MDM to ensure that a customer 360 view is available to better serve customers.
  • Privacy engineer solutions like OneTrust consent management and integrate it with all digital and native customer channels to ensure compliance with data protection laws.
  • Encrypt databases for data-at-rest and channels for data-in-motion, with industry-standard protocols like TLS 1.2 and AES 256 to ensure data security.
  • Lead the function of data management and governance by aligning the internal enterprise architecture with the industry standards like DAMA and EDM Council.